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and cooperation. You have a solid background programming in R and/or Python Proficiency in Dutch is a plus but not required. What we offer We offer a doctoral scholarship for a period of one year. Each
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of light-sheet microscopy data, evidenced by high-quality peer-reviewed publications. You can write your own image processing and analysis routines in Python, MATLAB, or C++. Experience with state-of-the-art
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, biostatistics, or a related discipline. Expertise in human genomic and transcriptomic studies and a strong interest in neurodegenerative disorders. Programming experience, preferably in Python or R, and
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(Python). You can demonstrate excellent study results. Your research qualities are in line with the faculty and university research policies . You act with attention to quality, integrity, creativity and
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(Python). You can demonstrate excellent study results. Your research qualities are in line with the faculty and university research policies . You act with attention to quality, integrity, creativity and
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experience working with bacterial pathogens in a microbiological and molecular biology lab environment. You hold strong bioinformatics skills, including programming and scripting (R, Python and Bash) and using
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skills in R and/or Python Willing to lead projects independently What we offer Full-time position on VIB payroll - We will initially start with a fixed term contract of one year, with the opportunity
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(FELASA B or C) Programming skills in R and/or Python Willing to lead projects independently What we offer Full-time position on VIB payroll - We will initially start with a fixed term contract of one year
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ecological research, quantitative data analysis, and statistics is strongly advised. Experience with geospatial analysis, remote sensing analysis, numerical modelling, or programming (e.g. R, Python) is
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals