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Postdoc position to support international research and capacity-building projects employing elect...
. Strong analytical and programming skills (advanced Python preferred). Willingness and ability to participate in international fieldwork, including field campaigns in Ethiopia lasting up to 2–3 weeks
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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neuronal network models to simulate spinal motor function. Use computational tools (e.g., Python, MATLAB, NEURON, or Brian2) to create biologically plausible models of spinal circuits. Validate models by
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to network modelling, network theory and/or network meta-analyses. Fluency in programming as needed for network analyses (e.g., R/python) Strong analytical, organisational, and record-keeping skills
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publications Strong programming skills in Python and deep learning frameworks such as PyTorch, demonstrated by coursework, projects, or contributions to public code repositories Experience with or strong
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characterization will be prioritized. Programming Skills: Working knowledge in standard scripting languages such as R and Python is recommended. Further Technologies: Experience in protein 3D structure prediction
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., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus. - Curiosity to research and develop new solutions in collaboration with senior and junior researchers within
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the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++, or MATLAB. Experience
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to magnetosphere-ionosphere coupling; experience with magnetometer and incoherent scatter radar data is particularly welcome. Excellent skills in Python programming for space science applications; experience with
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of neural network architectures (as a plus: PINNs, neural operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing