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differentiation of brain, gut, and placenta organoids, as well as optimizing robust protocols that form the experimental foundation of the laboratory's research program. Who are you? To be employed as a
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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of shelf-stable, nutritious whole-grain meals using advanced processing technologies (e.g., MATS, retort systems) AI-enabled modeling and optimization of perishable food supply chains, including cold chain
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theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium
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characterization of recombinant proteins. Under the supervision of the project leader, your responsibilities will include: Establishing and optimizing cell culture protocols under sterile conditions (adherent
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characterisation, including instrument control, experiment scheduling and monitoring, and standardised, reusable pipelines for NTCF users. They will analyse OPV materials and device data, contribute to the design of
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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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optimization, velocity modeling, seismic characterization, geological CO2 storage. Abstract: This research project aims to improve the FWI workflow in order to obtain accurate results even under limited initial
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, synthetic biology, yeast genetics, or related fields. Strong knowledge of heterologous protein expression and optimization. Experience with high-throughput screening and genetic-engineering technology is
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protocols to our Workflow Performing microscopy experiments on sperm dynamics under various controlled environmental conditions Merging experimental results, simulations, and literature for optimal conditions