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Field
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qualities Prior work in cancer research or clinical genetics is an asset. Expertise in bioinformatic research as well as experience with whole genome sequencing data analysis, programming (Python, R), deep
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related field. Fluency in both verbal and written English. Experience in bioinformatics, with proficiency in Python, R, or MATLAB. Desirable Qualifications: Experience with constraint-based modeling
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of publications. You have good recommendations from previous supervisors/teachers. Merits: You have experience in programming (e.g. with R and Python) to analyse single-cell transcriptomics data. What do we offer
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Experience from programming in Python Knowledge of fuel cells/electrolysers Knowledge of district heating Knowledge of energy markets Teaching experience Examples of innovative research/creative problem
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based on metabolomics data at an internationally competitive level is also desirable. Experience in programming is required, e.g. in language MATLAB, Python, R. You should have a strong interest in
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. Solid and documented experience of MRI physics is required, as is expertise in relevant programming languages, primarily C++ and Python. Experience in pulse sequence programming is highly advantageous, in
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targeted LC-MS/MS and DESI-MRM acquisition of biological samples (including tissue extraction and cryosectioning) Process and analyze these data modalities (using open-source R and python packages) Design