search

turing-roche / turing-roche-documentation

Other
28 stars 3 forks source link

February 2024 newsletter #43

Closed vhellon closed 4 months ago

vhellon commented 5 months ago

going out around the 20th February- please comment with any content you'd like included

vhellon commented 5 months ago

https://www.turing.ac.uk/events/events-around-turing-network check this link for anything relevant

vhellon commented 5 months ago

https://home.liebertpub.com/publications/ai-in-precision-oncology/679 - Sarah is on the board of this new journal so draft some sentences with her to promote board positions and the journal in general

vhellon commented 5 months ago

https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=28032

vhellon commented 5 months ago

Submissions open for talks and posters at RSS 2024 Conference The organisers of the RSS 2024 International Conference have opened submissions for contributed talks and posters for the event taking place in Brighton on 2-5 September. Submissions on any topic related to statistics, data science and the use of data are welcome. Not only are the organisers keen to have presentations on novel methodology and advances in analytical techniques, but also on the interesting and impactful stories that can be told using statistics and data science. Submissions are now open for the following types of presentation: · Contributed talks of 20 minutes (including questions) – deadline for submissions Friday 5 April · Rapid-fire talks of 5 minutes (with the option of an accompanying poster) – deadline Thursday 9 May · Poster presentations (A0 landscape format) – deadline Friday 21 June In total, there will be over 250 presentation slots across 9 topic streams available during the conference. Further information about making a submission can be found on the conference website. Find out more

vhellon commented 5 months ago

Are you passionate about contributing to ground-breaking biomedical AI research in a dynamic and collaborative environment? Join our “Interpretable and Beneficial AI” research group and play a pivotal role in our advanced research projects. We're looking for a motivated individual to support our research efforts in AI for multi-modal data integration with a focus on biomedical and omics data. https://www.jobs.ac.uk/job/DFR302/research-associate Feel free to contact me if you need more details. Annalisa Occhipinti, PhD,Associate Professor of Research School of Computing, Engineering and Digital Technologies Teesside University (UK)

vhellon commented 5 months ago

From Ben: Just been to the Oden Institute where I met Tom Yankeelov: https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.bme.utexas.edu%2Fpeople%2Ffaculty-directory%2Fyankeelov&data=05%7C02%7Cbmacarthur%40turing.ac.uk%7C5d99561bed794311cd0d08dc240f9e97%7C4395f4a7e4554f958a9f1fbaef6384f9%7C0%7C0%7C638424896695934177%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C4000%7C%7C%7C&sdata=coz3Ez%2BGsPw%2FGSxdNIYl0moirVLp%2Bdr4avg5DK1Avzs%3D&reserved=0

He's visiting London in March and Sophie has kindly arranged for him to do a seminar at 10am on 11th March here at Turing HQ.

We will advertise to all through the usual channels, but just wanted to give you advanced warning in case you wanted to meet Tom during his visit.

vhellon commented 5 months ago

HDR UK and Hardian Health: Bringing Software as a Medical Device to Market Location: Wellcome Trust, London, UK Date: Wednesday 21 February and Thursday 22 February 2024, 10:00 – 15:00

Register for this two-day in-person course with Hardian Health‘s multidisciplinary team, brought to you by HDR UK. The course consists of four half-day workshops, focusing on interactivity and engagement through round table discussions, exercises, and practical examples.

The aim is to equip early-stage innovators with the confidence and knowledge needed for proper health-tech market entry, including strategic decision-making, streamlined regulatory processes, robust clinical and economic evidence, and intellectual property protection. This course is aimed at those with a solid foundational idea, potentially with a prototype product and clear intended use.

The registration deadline for this event is Thursday 15 February.

More information and register here

vhellon commented 5 months ago

University of Edinburgh: Research Associate in Computer Vision and Machine Learning Deadline: Monday 19 February 2024

The goal of this project is to develop new approaches for visual reasoning that are grounded in learned general-purpose 3D aware representations. This will involve advancing our understanding of the state-of-the-art in 3D aware representation learning and developing new methods for introducing 3D priors into visual representation learning algorithms.

This post is full-time (35 hours per week) and fixed term for 12 months (with possibility of extension by another 12 months).

More details and application information here

vhellon commented 5 months ago

https://forms.office.com/pages/responsepage.aspx?id=saxMhCdwY0Kdihj6pb8IOTKrVL-o3yxAq0JMO0OMne9UQUlDUEFGUzdXVFlJRjI4VldCNVRWT0FPMS4u

vhellon commented 4 months ago

I am delighted to invite those interested in Physics-informed machine learning across disciplines, to present their work in the form of a 'flash talk' at an upcoming workshop (in-person). This is a fringe event as part of AIUK2024, and is open to public attendance. Highlights: :bulb: Keynote speeches from Dr Alice Cicirello (University of Cambridge) and Professor Nathan Kutz (University of Washington and Turing) :bulb: Poster prize competition Where: Imperial College (South Kensington Campus) When: 18th March 2024 (13:00 - 18:00) Flash talk/poster submission deadline: 1st March 2024 Kindly register here: https://www.imperial.ac.uk/events/172489/workshop-latest-developments-in-physics-informed-machine-learning

vhellon commented 4 months ago

Hello friends. I'm recruiting for a full-time, 2-year Postdoctoral Researcher position to the Clinical Research Facility at UCC. The role is all about the development of clinical risk prediction models/algorithms for diagnosis and prognosis. It will involve a mix of applied and methodological research. It would be well suited to someone with skills in medical statistics and/or health data science.

Search ref: 074011 https://lnkd.in/eRMYrYeV

vhellon commented 4 months ago

florence- scholar of the month in email

vhellon commented 4 months ago

Data Scientist and Research Software Engineer in Computer Vision and AI Machine Learning Specialist in Computer Vision and Bioimage Analysis What’s the difference between these jobs? Both jobs will work on cutting-edge scientific image and spatial 'omics data in the context of biomedical research at Human Technopole, AI4Life, EuroBioImaging, and the international bioimage analysis community. If you are not familiar with our community, you are clearly missing out on great science and a phenomenal spirit – we are trying to bring the computational sciences and the life sciences closer together in order to benefit from each other in many intriguing ways.. The data scientist and RSE job is more programming heavy and solution-oriented. We look for someone who gets a kick out of casting cutting-edge methods into usable and reusable software tools. The ML specialist is someone who develops new and modern AI solutions for scientific image data analysis problems that to date still slow the rate of scientific discovery. Your job will be to invent and publish, then hand over to the data science and RSE team (see above) to cater your new method to a broader group of users.

vhellon commented 4 months ago

:loudspeaker: Join us for the upcoming session in our TRIC-DT Seminar Series: "Crafting Digital Twins: Computational Methods Across Environment, Health & Infrastructure" - How computational modeling can design clinical trials for patients who are not average :date: Date & Time: Monday, March 11th at 10:00 am GMT :round_pushpin: Format: Hybrid (on Zoom) :busts_in_silhouette: Speaker: Prof. Thomas E. Yankeelov, Oden Institute for Computational Engineering and Science :studio_microphone: Title: How computational modeling can design clinical trials for patients who are not average Thomas E. Yankeelov will delve into the development of tumor forecasting methods by integrating advanced imaging technologies with predictive models of tumor growth. His presentation will focus on calibrating mechanism-based mathematical models of tumor growth and treatment response with patient-specific MRI data, aiming to design personalized optimal therapeutic interventions for cancers of the breast, brain, and prostate. He will also dive into some technical considerations related to making personalized, mechanism-based digital twins a practical reality. :star2: Aim of TRIC-DT Seminars: Our seminar series serves as an interdisciplinary platform to discuss computational methods, algorithms, and models underpinning Digital Twin technology across diverse fields. Join us to cultivate a unified vocabulary and explore synergies within and beyond the TRIC-DT community. :pushpin: This is a hybrid event with limited in-person capacity. Please contact digitaltwins@turing.ac.uk if you would like to join in-person Looking forward to insightful discussions and meaningful exchanges! (edited)

vhellon commented 4 months ago

translational science methods club

vhellon commented 4 months ago

The Department of Statistics at LSE is delighted to be involved in the organization of the BS-IMS World Congress Pre-Meeting for Young Researchers 2024, which will be held at the University of Duisburg-Essen, Essen, Germany, from August 10-11, 2024. The pre-meeting is a traditional event preceding the BS-IMS World Congress in Probability and Statistics, which will be held at Ruhr-University Bochum from August 12-16, 2024. Both Bochum and Essen are located in the middle of the Ruhr Metropolitan Region and at about 20km apart. The pre-meeting addresses young researchers at an early stage of their academic career. Participants will be given the opportunity to learn about selected modern research directions at the interface of probability and statistics, and to participate in discussions that pertain to career development. A further focus is to enable young researchers to network among their peer group. Confirmed speakers are:

vhellon commented 4 months ago

https://www.turing.ac.uk/events/ai-womens-health-meeting-march

vhellon commented 4 months ago

Health Foundation internship programme - UK based Come and join our Data Analytics team as an intern :slightly_smiling_face: They are operating a rotation this year so you'll have six months each working in two different teams (you'll choose from Healthy Lives, Innovation and Improvement, Policy, Data Analytics, Research, REAL Centre (Research and Economic Analysis for the Long-term), Communications & Corporate Services). DEADLINE: 23rd February 2024 Programme begins: 1 May 2024 Two days per week in the London office £26,924 per annum plus excellent benefits https://www.brightnetwork.co.uk/graduate-jobs/health-foundation/the-health-foundation-internship-2024-25