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an excellent reputation in technology transfer. The VIB Technologies program constitutes the centralized scientific research infrastructure of the institute and allows scientists access to high-end and
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analysis of multi-dimensional datasets. You possess bioinformatics expertise and have working knowledge of programming languages such as R, Python and/or Bash. Experience with analysis of bulk or single cell
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Computer Science, with specialization on applied machine learning, statistical methods, and/or autonomous systems Strong programming skills Strong analytical skills Industry experience in information and
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of programming languages such as Python or R and prior experience with data science, high-throughput omics such as single cell and/or transcriptomics, and statistics, is a plus. Expertise in one or more of the
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creep and shrinkage Experience in scientific writing or high-impact research collaboration Programming or scientific-computing skills with tools such as MATLAB and Python for model implementation and data
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educational vision . Your research qualities are in line with the faculty and university research policies . You are willing to apply for (additional) research funding. You are able to plan and organise your
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sequencing; Has experience with programming, data visualization and data handling in Python, R or related languages; Is proficient in Unix/Linux-based command line and cluster environments; Has
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, the candidate will be expected to finetune the final research design of their case study to fit the broader project, and to develop their ethics and data management plan in line with Justice Vision’s broader
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applications Motivation to secure competitive external funding (e.g. ERC or other international programs) Interest in outreach and contributing to a dynamic, collaborative scientific community
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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore