October 2022 newsletter

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will be going out around 7th October please comment with any content you'd like included

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The REG team has new permanent job openings for: Research Data Scientist/Research Software Engineer Junior Research Software Engineer/Research Data Scientist I am also excited to share that we have an opening for a new role called Research Computing Engineer (RCE). For those who might be interested in the RCE position or want to learn more about it, please check my blog post on What does a Research Computing Engineer do at the Turing? Please share amongst your networks.

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New episode: In the report ‘Better, Broader, Safer’ for the UK govt., Ben Goldacre outlines ways on how research in the health sector should be improved. It has a set of wide-ranging suggestions. Software engineering and supporting RSEs feature big in this, as Ben explains in this week’s #CodeForThought episode: https://tinyurl.com/9huzue8e

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https://events.humanitix.com/collaboration-for-health-equity-in-conversation-with-the-australian-global-health-alliance Collaboration for Health Equity: In Conversation with the Australian Global Health Alliance Wednesday October 12th 2022 2pm-3pm (AEST)

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https://raeng.org.uk/events/2022/october/critical-conversations-end-of-life-for-data-and-the-internet-of-things

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https://careers.roche.com/global/en/job/ROCHGLOBAL202209134727EXTERNALENGLOBAL/Data-Sciences-Placement-Student

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https://careers.roche.com/global/en/job/ROCHGLOBAL202209134128EXTERNALENGLOBAL/Industrial-Placement-Student-IPS-Global-Clinical-Operations-in-the-UK

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https://careers.roche.com/global/en/job/ROCHGLOBAL202209134134EXTERNALENGLOBAL/Industrial-Placement-Student-IPS-Insights-Analytics-Group-Global-Clinical-Operations-in-the-UK

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knowledge share event

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SHORT COURSE: Fairness in Healthcare Modelling, 9-11 Nov 2022

Course Title: Fairness in Healthcare Modelling

Course Leader: Professor Ioanna Manolopoulou (University College London)

Supported by: Health Data Research UK

Dates: 9-11 November 2022

Venue: Wellcome Trust, London, UK

Format: In-person course

Registation Fee: None

Registration Deadline: 15 October 2022

Overview: This course is part of the Health Data Research UK Doctoral Immersion Week Programme. The aim of this training is to cover the basic principles of fairness in healthcare modelling and highlight aspects of fairness that Health Data Scientists need to be aware of in their own research.

Intended Learning Outcomes: Participants will understand how bias can manifest itself in the different stages of predictive modelling in healthcare. Participants will understand the implications of biased samples, especially in the context of health data science such as genetic data or underreported medical conditions. Participants will have a broad understanding of how to evaluate algorithmic fairness within a given predictive model. Pre-requisites:

Participants should be: Current PhD students at a UK university, Experienced in graduate-level studies in mathematics, statistics and computational science, Proficient in a modern programming language (particularly Python and/or R). To register: Please go to our Doctoral Programme site: https://cwcyau.github.io/hdrukphdcourses/ cwcyau.github.io Doctoral Immersion Weeks Health Data Research UK Doctoral Immersion Weeks

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http://www.idwsds.org/?_cldee=X0I-VAPyiTI9SHwYr5s0A7DPZKyTbo634b5lEWIhvbMr2tDgiXzOB1xe89f5UmZW&recipientid=contact-4880a8c3923cec118c62002248434feb-0244af9f6e5143eda8775175c0fd1866&esid=be388243-0e34-ed11-9db1-0022483f7231

The first International Day of Women in Statistics and Data Science will take place on Tuesday 11 October. The initiative stems from a joint collaboration between the Caucus for Women in Statistics and the Portuguese Statistical Society. This will be a virtual event in the spirit of the first Around the World conference, which means there will be a place for both live and recorded presentations.

Find out more.

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https://www.turing.ac.uk/news/talkdatatome-introducing-turings-new-video-series-non-specialists?utm_source=newsletter&utm_medium=button&utm_campaign=sept_22&_cldee=_BKU6hK6Ods-1kFTPOOP5wHwY4T1cKdKYMlb3LHQmoQEWst6mGotg2GNJrPiXFu5&recipientid=contact-4880a8c3923cec118c62002248434feb-541c084428ec4b118fd9ada921d849c6&esid=5284374c-7e3a-ed11-9db0-002248425e85

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https://www.eventsforce.net/turingevents/frontend/reg/thome.csp?pageID=80561&eventID=230&traceRedir=2

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Hi all, I am currently recruiting PhD students working on inverse problems in medical imaging with machine learning. If you know any one who is looking for PhD opportunities, please help share this: https://sites.google.com/view/chen-qin/vacancies?authuser=0 Many thanks!

https://sites.google.com/view/chen-qin/vacancies?authuser=0

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We have an open position at Genentech for a Sr. AI Scientist with experience in multimodal data integration for oncology biomarkers. We work with the latest data from clinical trials to understand disease biology and improve patient selection for clinical trials. https://careers.roche.com/global/en/job/202208-130824/Senior-AI-Scientist-Multimodal-Translational-Medicine

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https://cezanneondemand.intervieweb.it/turing/jobs/research-associate-edon-early-detection-of-neurodegenerative-disease-27580/en/

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https://twitter.com/RWithaview/status/1577954255104794626

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https://twitter.com/LSHTMstatmethod/status/1577954297760948227