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with high-performance cluster-based computing Competence in computational programming, preferably using python or R Experience working with fMRI data Experience working with PET data Familiarity with git
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simulation tools, such as MATLAB and Python. Ability to work both independently and collaborate in teams. Consideration will also be given to how the applicant’s experience and skills complement and strengthen
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assessment criteria: Practical experience in remote sensing applications in vegetation ecology, conservation or related areas Experience in programming using R or Python Good knowledge and experience in
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complemented with bulk and single cell RNAseq data from relevant tissues to investigate T2D pathogenesis and its early life programming. Read more about the research here (https://portal.research.lu.se/en