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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
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, with an interest in probability theory, mathematics, and data science. Very good practical C++ and Python programming skills allow you to make your ideas happen. Very good command of written and
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following: Scanning probe microscopy, transport measurements, superconductivity Programming experience, for scripting and data analysis Very good command of written and spoken English with extensive
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background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas networks, or coupled multi-energy systems Proficient in programming
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numerical modelling and scientific programming in MATLAB Basic understanding of battery systems, electric vehicles, energy systems or power grids Experience with model predictive control, multi-objective
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modelling Experience in scientific programming and numerical simulation using MATLAB and/or Python, as well as in processing and analysing experimental data Practical experience with laboratory battery
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strongly desired Programming experience in Python and familiarity with machine learning frameworks Knowledge of emerging memory devices and computing technologies is beneficial Excellent communication
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programming neural networks, machine learning theory and machine learning software frameworks (e.g., PyTorch or JAX). Curiosity-driven personality with the ability for creative and analytical thinking
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analyzing scientific literature and patents Strong interest in energy technologies and energy systems research Experience in LLMs and developing LLM-based methods is an advantage Programming skills