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cycle, from architecture to implementation, of a CMOS-based digital neuromorphic processor. Contribute to the design of a test setup for prototype validation in collaboration with the PhD student who is
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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to prototype validation and measurement activities. Document design choices, trade-offs, and experimental results in high-quality publications. The position offers the opportunity to establish an independent
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in the Pedersen lab focusses on ion channels and their role in several neuromuscular diseases characterized by abnormal muscle excitability. Experimentally, the work involves electrophysiology, imaging
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this. It is important to develop a detailed picture of the cell types affected by these changes and if possible the temporal sequence in which they occur in order to intervene to restrict cancer progression
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hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
to the requirements of the position at the university level. The applicant is expected to hold a PhD, demonstrate scientific innovation and excellence, publish research outcomes in international peer-reviewed journals
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imaging. This position offers the opportunity to develop cutting-edge platforms for real-time monitoring of human tissue metabolism in physiologically relevant models. You will play a key role in our
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an expert in the extracellular vesicle field with skills in genetic engineering of extracellular vesicles (including transient/stable transgenesis of zebrafish), live embryo imaging, and spatial
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reactivity of gene-engineered T cells Qualifications Candidates most have a PhD in the area of Immunology and Cell Biology. In addition, candidates should be trained in: T cell detection technologies, using