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, machine learning (PINN, supervised learning) - Python/PyTorch programming - Autonomy, curiosity, and adaptability - Excellent writing skills Specific Requirements The doctoral student's host laboratory is
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well as energy-economic analyses. Prior experience with software packages such as GAMS, Python Pyomo, and solvers like Gurobi, CPLEX, etc. Excellent German and English skills (spoken and written). Admission
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and fast optical modulators. - FPGA support to the team. - Sofware support to the team (Python, C++) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research
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of software development (Python) for wavefront control using adaptive optics Demonstrate rigour, adaptability, agility and responsiveness Ability to work in a team Be independent and organised Ability
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preferably with data analysis and machine learning (e.g., Python, AI frameworks). You have strong analytical and problem-solving skills, with the ability to translate complex clinical processes into structured
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(preferably R or Python) and in adapting hydrological models. You have obtained knowledge in hydrological modelling and basic extreme value statistics. You are open to work in a team and to communicate with
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in programming (preferably R or Python) and in the processing and analysis of data sets, preferably with the focus on hydrological processes. You have obtained knowledge in statistics, especially in
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statistical analyses using Stata and Python. Review relevant academic literature and summarize findings. Prepare tables, figures, and documentation for research papers and presentations. Support other research
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(university, TU) in mechanical engineering, materials science, physics, or related fields Programming experience (e.g., Python, C, C++) Experience in laser materials processing, welding of metallic materials
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. A masters degree in a neuroscience related discipline, experience with coding (e.g. Matlab, Python, R etc) and conducting human neuroscience experiments and analyses are desirable. If your first