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. Collect and analyse personal occupational and environmental exposome and health outcome data, in interventional and observational studies. 3. Evaluate interventions in terms of exposure, health parameters
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is open, in the last five years or the extended period requested, if accepted by the committee, with a weight of 80%, based on the following parameters: IV.2.1.1. Scientific, technological, cultural
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movements during art (exhibitions) experiences and relate those to parameters of lighting design and perception. This project will be supervised by Maarten Wijntjes and Sylvia Pont. PhD candidate / project 13
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discovery, and computational design. Extending our existing theoretical frameworks in investigating design optimization and nonlinear parameter estimation. Contributing to the teaching and assisting with
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. Extending our existing theoretical frameworks in investigating design optimization and nonlinear parameter estimation. Contributing to the teaching and assisting with dynamics relevant courses
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computational modelling with experimental validation. The project involves developing time- and position-dependent models of electrochemical double layers, and parameter estimation methods incorporating
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parameters that have been learned from data. For instance, why does a machine learning model predict that it is unsafe to discharge a certain patient from the intensive care? Or which characteristics make a
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on the following parameters: IV.2.1.1. Scientific, technological, cultural or artistic production: Relevance, quality and national and international recognition of scientific, technological, cultural or artistic
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
for deciphering organic matter dynamics in the Arctic Ocean (f/m/d) Background The Helmholtz School for Marine Data Science (MarDATA) is looking for a graduate in computer science, computer engineering, applied
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incomprehensible model parameters that have been learned from data. For instance, why does a machine learning model predict that it is unsafe to discharge a certain patient from the intensive care? Or which