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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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, or industrial engineering. Proficiency in Python and simulation tools (e.g. AnyLogic, Arena) and optimization solvers (Gurobi, CPLEX). Solid background in decarbonization modeling, logistics, and techno-economic
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, energy systems, simulation, and/or transportation research. Technical skills: Python programming; simulation. Domain knowledge: Decarbonization modeling, life-cycle assessment, battery-electric vehicle
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experience. Proficiency in Python, Arduino C, and MATLAB. Experience in CAD software. Preferred Qualifications Extensive experience with fluid system design specifically for rocketry components (High flow rate
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and programming skills (Python preferred). Excellent written and verbal communication in English. Passion for exploring the frontiers of condensed matter physics. What We Offer · Pioneering
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Research intuition Experience in programming (Python, R, Matlab, C++) Excellent communication and collaborative white board skills Meticulous and detail-oriented, and innately driven to understand issues
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manual data coding or crawling from online platforms; and (c) assist in data analysis with Stata and Python, among other activities. Qualifications Applicants should: (a) have an honours degree
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Junior Research Assistant who will analyze large-scale biological data sets and help create open-source R and Python software to support our lab’s methodological research. Working closely with Professor
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and track record in R&D and standardization. Prior experience in state-of-the-art AI techniques. Mastering of a programming language would be valued (e.g. Python, C, Matlab, …) Self-driven, highly
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc