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gate electrodes and affects control accuracy in Si/SiGe spin-qubit systems Develop compact Python-based models of these electronics for integration into quantum-mechanical simulations Design and
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Python Fluent written and spoken English (at least C1 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level Team-oriented
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neuroscience or a related field of study Extensive experience with programming (Python or Matlab) Passionate about human neuroanatomy and cognitive neuroscience Highly advanced and flexible command of
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, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn
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, or a related field Proficiency in at least one programming language (Python, C++, …) Experience in neuroscience is an advantage Good analytical skills with a sound understanding of data evaluation
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thinking, and the ability to take initiative Initial experience in the field of life cycle assessment Basic knowledge of Python Excellent German and English language skills (at least C1 level according to
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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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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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languages or Python Excellent teamwork and communication skills Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR