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computing Excellent programming skills (e.g., Python, C/C++, Julia, or MATLAB) Interest in quantum computing, quantum algorithms, and hybrid quantum–classical computing. Previous experience is considered
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statistical physics; expertise in quantum information is particularly appreciated Strong programming experience and/or strong background in analytical methods Very good command of written and spoken
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Current master's student in Process Systems Engineering, Computational Engineering Science, Chemical Engineering or a comparable program Programming experience in Python; experience with PyTorch is a
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disciplines Experience with Python programming and Microsoft Excel Fluency in English, both written and spoken Strong interest in energy technologies, climate policy, and carbon dioxide removal Highly
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drought Motivation for modelling and data analysis Programming experience or willingness to develop it Good English communication skills (at least B2 level according to the CEFR: https://go.fzj.de
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for High-Performance Automotive ADAS & Autonomous Driving, Product Folder. [7] K. He, X. Zhang, S. Ren, and J. Sun, "Deep Residual Learning for Image Recognition," IEEE Conference on Computer Vision
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Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new
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, biophysics or a related field with a specialization in soft matter science You have some experience in data analysis using standard software like Origin and in scientific programming Experimental experience
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with drones, GC systems, or trace gas observations (desirable) Possess solid programming skills (e.g., Python) for data analysis (helpful) Apply anyway even if you do not meet all criteria, as missing
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Ideally, initial experience in a technical or scientific environment (e.g. cleanroom, laboratory) Knowledge of solid state physics and/or quantum information Experience with programming, preferably with