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Field
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biointerfacing synthesis and Structural and physicochemical characterization of electrode materials (porous carbons, conductive polymers, porous polymers) and electrolytes: application of modern analytical methods
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for measurement automation and data analysis Machine learning or Artificial Intelligence methods You enjoy hands-on experimental work, have strong analytical skills and are motivated to develop innovative sensing
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qualification giving access to doctoral study, demonstrate strong analytical and writing skills, and have a clear interest in technology governance. They must satisfy the MSCA doctoral-status and mobility rules
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laterally and within the depth of the electrode. The aim is to use this advanced analytical technique to optimise the production of pre-lithiated anodes for future batteries. Your Job The PhD research is
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
models). Your tasks Development of analytical theories of biomolecular phase transitions, focusing on liquid-liquid phase separation. Development of numerical simulation tools, e.g., for process modeling
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the development of numerical methods for modelling wave propagation and structural dynamics (e.g. FEM, semi-analytical methods) Experience in one or more of the following areas is desirable: wave propagation in
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and a strong interest in cognitive neuroscience, brain development, and/or learning. Excellent analytical and programming skills, the ability to work both independently and collaboratively, and
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with PyTorch or similar frameworks Interest in representation learning, self-supervised learning, multimodal learning, foundation models, or ML theory Strong programming and analytical skills Excellent
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, TensorFlow and/or JAX Interest in scientific computing and simulation Strong analytical abilities Excellent communication and teamwork skills Independent and structured working style Specific Requirements
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imaging and sensing data. Curiosity and willingness to engage with both the technical foundations of imaging methods and the biological or medical questions behind the data. Strong analytical and problem