323 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication
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will be translation of research into real world impact and providing evidence for policy and practice. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/suicide
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Website https://www.manchester.ac.uk/ Street Oxford Road Postal Code M13 9PL E-Mail lucas.cordeiro@manchester.ac.uk Phone +44(0)161-275-8081 STATUS: EXPIRED
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, engineering, mathematics, etc.), along with prior experience analysing electronic health records data from large mental health electronic health records systems. Demonstrable ability to write code in R and/or
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(AGCAS) Code of Practice. The Careers and Employability Service is part of the Directorate of People. The Administration Coordinator will lead in all administration related support across a range of
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particular interest in repeat expansion disorders and conditions caused by variations in non-coding DNA. One of the main commitments of his lab is the further elucidation of the mechanism and development
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systems. Demonstrable ability to write code in R and/or Python in such a way that data analysis can be streamlined is essential as is the ability to apply fundamental data science techniques. Experience
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comfort in response to different infra-red radiant heat environments. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/biomedical-phd-inf… Requirements Research
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field, e.g., neuroscience, neurology, data processing/analysis. Key skills: proficiency and experience in coding relevant to data wrangling/processing (e.g., python, R, MATLAB); experience with command
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samples. All computational methods and algorithms will be implemented as part of the python based MetaboLabPy platform (https://doi.org/10.3390/metabo15010048 , https://github.com/ludwigc/metabolabpy