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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0202-NPP-MAR26-JPL-HelioSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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Research FieldPsychological sciences » Psychology Additional Information Benefits The position is funded for 3 years (renewed annually), with a net salary of approximately €3,000/month in line with Belgian
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engine modeling code. Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM). Perform scalability
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data or urban mobility patterns Good German language skills (at least B2) Experience with collecting own data (e.g. questionnaires; measurements) Experience with developing networks with stakeholders
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a member of the team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy
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team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data
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team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data
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a TOTUM card, by showing an employee pass in selected local stores, or online by using any of the listed discount codes Childcare services - We offer excellent childcare services including five
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
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existing SPAR coding to analyse respiratory data collected from commercial wearables Liaise with industry partner to support any technical issues during the study Liaise with participants to support sensor