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Field
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Vacancies PhD Opening: Reinforcement learning in human neuromusculoskeletal models for the control of human-inspired musculoskeletal robots. Key takeaways We’re seeking for motivated candidates
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seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and
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Join Maastricht University’s cutting-edge Fitness Improving Technology (FIT) project and build innovative 3D muscle models to pave the way for personalized therapies in rare and common muscle
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methane. Improved scientific knowledge is needed to design the most efficient climate mitigation policy. You join the development of the global atmospheric inverse modeling system TM5mp-4DVAR, that is used
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. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine learning models without moving sensitive or large
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of the global supply chain. Most ways to model the stochasticity involve introducing nonlinear terms in the mathematical formulation. It is your goal to investigate how well machine learning methodology can be
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In this translational project, you will apply recently developed zebrafish Lyso-IP/-Tag lines to interrogate intra-lysosomal proteomes, lipidomes and metabolomes in cln3-deficient models. The goals
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Make a difference with your research. Join us to build advanced population models based on the field observations. You’ll collect and analyse data on conservation options - predator management
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interactive views to inspect layouts, check constraint violations, and communicate results to non-specialists. Learning objectives: Translate a real operations problem into a formal optimisation model; Compare
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sciences, economics and regulation. Job description The project of the PhD student based at CWI in Amsterdam will focus on techno-economic models (and in particular multi-agent modeling) of energy exchange