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experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python programming Interest in lab-automation
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surface science Prior experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python programming
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and rigorously evaluating new machine-learning methods. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research
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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable tools) are an advantage High interest in interdisciplinary research Excellent communication skills and
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, or related methods, is also advantageous. Programming and data analysis skills in Python, MATLAB, R, or similar are advantageous. Proficiency in English; German is a plus. Enthusiasm for interdisciplinary
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Knowledge of mammalian cell culture systems and 3D cell cultures (organoids) Expertise in software such as R, KNIME or Python An independent, reliable and goal-oriented work style You are not afraid to take
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(MILP) A strong track record of relevant publications Excellent English skills Ideally, the candidate also: Has worked with CCUS and industrial processes Has programming experience in Python and Pyomo Our
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- or nanoplastics, online or offline ice nucleation experiments. A good knowledge of programming languages such as Python, R, MATLAB or IGOR is expected. Excellent English skills, both in verbal and written