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(40% of the social sector). Information This is a four-month position. The Data analyst will contribute to training existing econometric models in R and Python and running scenarios, as
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implications for both fundamental and medical sciences. Job requirements MSc degree (or nearing completion) in physics, biophysics, computational biology, or a related field. Strong programming skills (Python
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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both high-level and low-level programming languages such as Python for the former and Fortran/C++ for the latter. You will be part of the EMPMC lab , headed by prof. van Beurden, embedded within
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the use of machine learning for regression tasks. Demonstrated proficiency with Python or similar scientific programming environment. Ability to work with large datasets, develop reproducible workflows and
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variables. Experience with Matlab, Python... A demonstrable interest in atmospheric physics and offshore wind turbines. Good organizational skills and ability to work independently. Good command of written
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a small team. Experience with automation, optomechanical design, PCB design, embedded systems, Python or LabVIEW, precision assembly, or design for manufacture is welcome, but not required. This is
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statistical software such as R, Python, SPSS, or Stata. Affinity with issues of climate justice, social inclusion, migration, and/or community-based research. Experience conducting comparative or mixed-methods
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related field with a strong quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably
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for VR, simulation, digital twins, or interactive applications. Experience with robotic systems and robot programming. Experience with UR or Franka robots, ROS/ROS2, TypeScript/Node.js, Python