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with Python-based community tooling such as the BrainGlobe Atlas API. Collaborate with cluster-hire colleagues in behavioral neuroscience, circuit imaging and mapping, and ML/AI to translate research
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in computational biology, data science, bioinformatics, or related fields. Familiarity with basic concepts of statistical analysis is required. Strong programming skills in Python, R and Linux-based
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twins is considered an asset. You have strong programming skills in Python and/or MATLAB. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP), and software
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); Experience in quantitative data analysis and visualizations with R and/or Python; Interest in working with behavioral data, such as movement trajectories, interaction logs, task performance, and eye-tracking
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biological content. Interest in cancer biology and/or haematology. Affinity for quantitative data analysis. Programming experience in Python is an advantage but not a prerequisite. You are expected to develop
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package is not required, but experience with one or more computational environments, such as MATLAB, Python or similar tools, will support your work in the project. Knowledge of Power-to-X, electrolysis
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and/or programming skills (ideally in C++, Julia and/or Python). You have a good knowledge of English, both oral and written. Your teaching competences are in line with the University of Antwerp’s
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traffic flow theory and simulation. You are a machine learning enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your
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- or nanoplastics, online or offline ice nucleation experiments. A good knowledge of programming languages such as Python, R, MATLAB or IGOR is expected. Excellent English skills, both in verbal and written
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have: An MSc degree in Biomechanical Engineering or a closely related discipline by the start date of the position (September 2026) Experience in scientific programming (e.g., Python, Matlab) Experience