40 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" "Inserm" positions at Imperial College London
Sort by
Refine Your Search
-
found by visiting https://www.imperial.ac.uk/science-communication-unit/ If you require any further details on the role, please contact: Dr Felicity Mellor, Director of the Science Communication Unit
-
, Department of Brain Sciences (https://www.imperial.ac.uk/people/n.skene ). Today, over 1 million people in the UK are living with dementia and related neurodegenerative disorders, such as Alzheimer’s and
-
. Deep interest in cross-disciplinary applications and methodologies is a must. Computational and coding abilities for chemistry computations and machine learning applications in Chemistry are required
-
findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
-
and an effective team player Excellent numeracy skills (basic rules, using codes on databases) A pro-active and flexible approach to work with the ability to adapt to changing situations in a considered
-
molecular and systems-biology models Delivering open-source tools, reproducible code and high-quality publications Presenting findings to Imperial, Oxford and GSK stakeholders and contributing
-
related field. Experience with quantitative policy analysis using econometric, statistical, or simulation methods. Strong coding and analytical skills (e.g. Stata, R, Python). The ability to translate
-
tools, reproducible code and high-quality publications Presenting findings to Imperial, Oxford and GSK stakeholders and contributing to collaborative project planning Secondments at GSK to test models
-
serve as a senior member of the Centre’s software team. The job will involve writing code in Python, Java and Typescript and developing the cloud infrastructure and Kubernetes services on which it runs
-
expected to publish findings, and help attract funding. • PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering • Excellent coding skills • Preferably a familiarity with