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representation learning. Programming skills (e.g., Python) and experience with deep learning frameworks (e.g. PyTorch) Interest in applications to ecological or biological networks Good analytical and
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econometrics, statistics and quantitative analysis experience with at least one statistical programming language, such as Stata, R or Python, and an openness to learning additional tools the ability
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. PCR, nucleic acid handling). Experience in computational data analysis (for example in Python). Ability to work both independently and as part of a collaborative, multidisciplinary team. Meritorious
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enthusiast (and realist). You love coding and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your ideas with AND without LLMs. You get excited about implementing your
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Integrated Circuit (IC) design and Computer Architecture. You should have solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL). You should have experience with commercial EDA tools
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, optics, electrophysiology, or related fields) Programming experience (Python, MATLAB, C++, or similar) Interest in developing novel biomedical technologies Strong motivation for translational neuroscience
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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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environments, such as MATLAB, Python or similar tools, will support your work in the project. Knowledge of Power-to-X, electrolysis, renewable fuels, process integration or energy storage will be advantageous
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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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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