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particular attention to cardiometabolic conditions. The candidate will hold a PhD in statistics, mathematics, bioinformatics, computational biology, or statistical genetics, and should have a strong record of
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of results with international collaborators. Qualifications and assessment criteria: An PhD degree in bioinformatics, bioengineering, computer science or equivalent is preferred. Candidates with relevant MSc
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(including liquid chromatography, high-resolution mass spectrometry, bioinformatics and related software) Strong oral and written skills in English – our communication language is English Flexibility
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unit. Responsibilities include, but are not limited to: Cell-based in vitro research within pharmacology, and preferably experience with CRISPRi, RNA sequencing, proteomics, and/or bioinformatic
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postgraduate levels. The successful candidate should have a PhD degree within genetics or bioinformatics, and the research area must fall within the area of statistical and complex trait genetics. The candidate
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering