90 programming-language-"St"-"University-of-St"-"FEMTO-ST"-"St" positions at Nature Careers in United Kingdom
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Job Advertisement Title: Data Science Program Manager Division/Department//Faculty: Institute of Clinical Sciences, Faculty of Medicine Location: Hammersmith Salary: £46,614 - £56,345 per annum
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programming languages (R & Python) and of good coding practices are expected. For full details of this post and to complete an online application, visithttps://mrc.tal.net/vx/lang-en-GB/appcentre-1/candidate
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will lead an internationally competitive research programme focused on Parkinson’s disease. You will contribute to an integrated, collaborative, interdisciplinary, and open science environment. We
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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programming skills in languages such as Python, MATLAB or R. Familiarity with UNIX/LINUX. High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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Job Summary: Responsible for leading and managing an independent research group within the Generative Biology Institute (“GBI”), delivering a program of bold, ambitious and transformational research
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(or conferences) in one or more of the following areas: Quantum machine learning, Quantum algorithms , Quantum information theory or Theoretical Physics Essential criteria: Proficiency in at least one programming
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Structural Biology, Immunology, Cell Biology, Neuroscience and Synthetic Biology www2.mrc-lmb.cam.ac.uk/students/international-phd-programme/projects/. PhD students at the LMB are affiliated with
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Sapey, provides robust support for projects involving big data and Artificial Intelligence (AI), including Natural Language Processing, Computer Vision, Machine Learning, and Deep Learning. The team’s