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, or biomedical engineering (the degree should have been completed within the last 5 years at most) with at least 3 years of experience in designing Artificial Neural Network (ANN) or Spiking Neural
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understanding of chemical safety regulations and frameworks: CLP, REACH, SVHC lists, and GHS classification. Demonstrated experience with: Hazard and risk assessment methods (e.g., QSAR, NAMs, in silico tools
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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-reviewed publications Prior experience with animal experimental techniques, especially small animal surgery, neuroimaging, biochemical techniques such as western blotting, PCR, and immunohistochemistry
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related field. Strong software development and programming skills, with experience in designing and implementing complex software systems. Research experience in artificial intelligence and/or machine
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- a pioneer center for accelerating P2X materials discovery and working on automation of laboratory experiments. CAPeX is a 13-year and 300 MDKK “Pioneer Center for Accelerating P2X Materials Discovery
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relevant fields. The candidate will be expected to be familiar with moral philosophy and political philosophy. Experience with philosophy of economics will be an advantage but is not a requirement. The
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with theorists and experimental scientists. The project revolves around (1) implementing molecular simulations and developing new techniques for simulations of transmembrane proteins, particularly those involved
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with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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of Funen at the university's main campus in Odense – the third-largest city in Denmark with 180.000 inhabitants. Odense provides family-friendly living conditions in a historic city with an urban feel