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areas above is required. You also need good programming skills in C++ and Python and experience of ROS or ROS 2. Good oral and written English is required, since you will present the group's work in
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. Experience working in large collaborative teams. Ability to collaborate across multidisciplinary teams and coordinate with internal and external partners. Background in scientific programming is highly
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focuses on rationally harnessing and programming the immune system’s ability to perform complex functions. By equipping immune cells with new generations of synthetic receptors, we develop and
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, hydraulics/hydrology, thermodynamics (e.g. heat transfer processes) - experience of sensor-based monitoring, field sampling, machine learning, programming as well as working with large environmental
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-genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics across environmental gradients
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of experimental human research using functional neuroimaging (fMRI) or non-invasive brain stimulation (for example TMS or tES). You have good programming and data-analysis skills (for example Python
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/assignment relevant to the subject area. Assessment criteria Good programming skills and linux/unix experience is a requirement. Knowledge of Matlab or R is also highly desired. Previous
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. Experience in experimental cell biology, programming, biophysics, image analysis, genomics or data analysis is considered meritorious. The project will be conducted in a multidisciplinary research
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quantitative field, together with strong programming skills, for example in Python or R. You are welcome to apply should you have a degree in applied parts of statistics, computer science, machine
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assessment: Quantitative remote sensing, including optical and radar data. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning