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spoken and written English. Fundamental knowledge of fluid mechanics, viscous fluid flows. Strong mathematical and analytical skills; knowledge of physics and mechanical design is an asset. For projects 1
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requirements: MSc degree in mechanical or aerospace engineering, applied physics or applied mathematics. Background and affinity in fluid mechanics (e.g. MSc thesis on a fluids-related topic). Good track record
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
interpretability using techniques such as complex network analysis and dimensionality reduction (ordination). Intervention analysis: Develop qualitative and quantitative mathematical models to simulate the impact of
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Representation Learning. Causal Explanations. Causality and Large Language Models. Counterfactual learning. Requirements Specific Requirements Master's degree in Computer Science, Mathematics, or a related field
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dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is
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engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is advantageous
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mastered the theory, you will build models, describing the natural phenomenon with mathematical precision. Beside deriving theory and collecting data of real-world epidemic spread to validate your model, you
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4 Jun 2024 Job Information Organisation/Company University of Twente (UT) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 15 Jul 2024 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job...
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for Mathematics and Computer Science in the Netherlands, located in Amsterdam. The IAS group has an extensive experience in developing and applying computational intelligent, multi-agent systems and applied game
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project. Once you have mastered the theory, you will build models, describing the natural phenomenon with mathematical precision. Beside deriving theory and collecting data of real-world epidemic spread