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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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providing protein-level insights into individual cells. This powerful technique is crucial for thoroughly characterizing changes in the TME's surface proteome and identifying essential components
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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning
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referees Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 15.08.2025 ONLINE formally through the HR
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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projects A cover letter describing experience and future interests Contact information and recommendation letters from at least three referees Early application is highly encouraged, as the applications will
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of your previous research, publications list, plus the contact details of at least two referees.
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and experience
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