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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and
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molecular plant-microbe interactions, ideally focused on potato pathogens. Good technical skills in molecular biology and biochemistry lab techniques, gene editing tools, diverse bioinformatic tools a.o
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, preferably in Python, MATLAB, R, or comparable tools. Strong communication skills and proficiency in spoken and written English. The ability to work both independently and collaboratively in
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physics/mechanics. Experience with and enthusiasm for numerical simulation tools including programming in fortran/python. A research-oriented mindset: critical thinking is your second nature. A team player
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. Motivation letters generated with ChatGPT or other AI language tools will not be considered. The job interviews are planned in the week of 7 September, so please take this into account when applying
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responsibilities include: Leading the three work packages of the project. Conducting longitudinal meta-research on Open Science practices using bibliometric and automated assessment tools. Collecting, managing and
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for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific data infrastructure
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facilities and access to microscopes etc. The BioMS group is world-renown for mass spectrometry-based proteomics and structural biology, and applies these technologies to study amongst others cancer, auto
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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cutting-edge datasets with multivariate methods, and delivers spatially explicit tools for the attribution of compound events and impacts which might be ground-breaking to support adaptation in vulnerable