413 programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"U"-"Prof"-"U.S" Fellowship positions in United Kingdom
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Hospital. The post is funded by the National Institute for Health and Care Research (NIHR) Invention for Innovation (i4i) programme. It is anticipated that a DPhil in Surgical Sciences will be undertaken as
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ABOUT THE ROLE We are seeking a highly motivated Research Fellow to join our 23-month project evaluating the 'Making Every Contact Count' (MECC) programme in Bolton. This programme aims to improve
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, driving exciting research that enhances our existing strengths, and we will support you in the development of an independent and aspirational research programme. You will already appreciate that training
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Science Program (HFSP) funded project focused on understanding the musculoskeletal system of head-first burrowers (amphisbaenians). The role will lead on the computational simulation aspects of the project
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, consideration of urban heat island in the generation of future weather files and some experience with computer programming programs. Strong communication/interpersonal skills and an ability to work independently
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(HPB). The medical oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor
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disease diagnostics and make a lasting impact on global health. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional
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High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Demonstrate Linux expertise including file systems, shell, hardware
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of the Incredible Years parenting programme delivered to children aged 3-7 years of age with very high levels of antisocial behaviour and then followed up in adolescence. The postholder will be responsible
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: Proficiency in at least one programming language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in