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experience with software related to experiment control and data analysis (Python, IMSwitch, PiScat) • Ideally, you have experience working with DNA-origami and DNA-PAINT assays. • You have an excellent command
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mathematics. Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX). An early track record of research (e.g., a high-quality Master's
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. Python, MATLAB, or similar); excellent written and spoken English. Prior experience with superconducting circuits, low-temperature physics, optics, microwave engineering, or nanofabrication is welcome but
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methods Data analysis, and programming (Python) Experimental membrane biophysics What We Offer: 4-year fixed-term contract (1 + 3 years, 75% FTE, ~39 k€ gross/year, benefits, paid leave) State-of-the-art
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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charging technologies Experience in modelling and simulation using Python Knowledge of optimisation methods, energy systems, or smart charging concepts is advantageous Experience with data analysis and
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, particularly in Python and Java Commitment and initiative Strong teamwork and organizational skills Admission Requirements Completed Master's or Diploma degree in Computer Science, Software Engineering and
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. The position also includes administrative tasks related to teaching and research activities. Your Profile Programming experience in a higher-level programming language, such as Python or Matlab, is required
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command of the English language. These skills would be an advantage: Experience with Lagrangian transport models; Expert knowledge of programming, preferably in Python and/or Fortran; Experience with space