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involving robotics, computer vision, SLAM, mobile sensing, sensor fusion, or related areas will be valued. Criterion a3. Technical and programming skills (30%). Strong proficiency in Python or C++, and
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GitHub (or similar) repositories or other code portfolios demonstrating relevant programming experience (e.g., in C++ and/or Python) (if applicable) If all or parts of your education have been completed
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MS data analysis using software such as FragPipe and DIA-NN, as well as basic programming skills in Python. Practical experience in antibacterial assays based on dilution or diffusion methodologies
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sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is
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machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal learning, and 3D perception. An affinity for translating
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Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics Programming proficiency in Python and familiarity with ML frameworks (PyTorch, JAX
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minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from controlled experiments
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. Ability to develop, understand, and critically evaluate machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal
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/genome biology, minimum grade B (ECTS grading scale) or equivalent. The Master’s degree must include a thesis of at least 30 ECTS. Programming skills in Python, R or equivalent scientific computing
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chirality, molecular ions, ultrafast optics, or instrumentation will be considered an advantage. Experience with Python programming is also preferred. MSCA Mobility and Eligibility Requirements As the