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the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final
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Survey (ESWS) data from 9 European countries and a multilevel design with employees nested in teams nested in organisations. Advanced statistical techniques will be used to perform the analyses. You will
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discipline. A strong curiosity for human movement analysis and markerless motion capture. Experience with pose estimation, computer vision, and/or synthetic data generation for model training. Solid
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data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying the different nucleation pathways for ice formation. You will collaborate with other researchers
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eager to combine computer vision, biomechanics, and synthetic data generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: A PhD in Biomechanical
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modelling approaches, and: A PhD in Earth Sciences, biogeochemistry, or related discipline A strong interest in organic geochemistry and hands-on laboratory work You are able to independently plan, organize
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on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love
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Specific Requirements you have a PhD degree in civil engineering, environmental sciences, geography, operational research or a related discipline you have demonstrable experience with quantitative modelling
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-of-year bonuses (8.3 %), training and career development. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be
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community and of diverse backgrounds to join us. Your possible starting date will be taken into account in the selection procedure. Additional Information Benefits We offer: a postdoctoral position (1.0 FTE