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knowledge on the effects of turbulence in mixed-phase clouds -Improve the current models subgrid models for LES simulations. Who we are looking for The following requirements are mandatory: A doctoral degree
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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change. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Postdoctoral-Research-Associate--Translational-Muscle-Biology--Murine-Models-_R138320 Copyright
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position (m/f/d) in multiscale, multiphysics, mathematical modelling of plant morphogenesis as soon as possible. Description of the project Plant growth is a complex hydromechanical process in which cells
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(AM) technologies. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses on extending product lifetimes, reducing waste, and lowering dependency on virgin raw
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 6 days ago
employment. Starting date: 01.03.2026 Job description:PhD Student (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling With cutting-edge research in the fields of ENERGY, HEALTH and MATTER
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cross-functional teams to translate data requirements into Lakehouse-integrated solutions. Build and maintain data models, integration workflows, and transformation processes supporting analytics and
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mitigation strategies, such as selective yaw control and power down-regulation of wind turbines. Use experimental, field, and numerical data to validate, improve, and develop fast analytical wake models
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–Stokes equations, fluid–structure coupling laws, and electromagnetic forward models to map sensor fields to flow and solid dynamics. • State Observer Development: Infer object position, vibration modes