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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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• Possess a PhD in Computer Science, Software Engineering, Information Systems, or a related field. • Strong full-stack development skills (e.g., Node.js, React/Vue, Python backend frameworks
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, and skills in C, Java or Python/SageMath are a plus. Good writing and communication skills are requested, together with the ability to work independently as well as in a team. A good English level is
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extraction, or machine learning; or o Ecology, evolutionary biology, biodiversity informatics, or similar, with a focus on large-scale, quantitative research. · Strong programming skills in Python and
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STATA, R, SAS, PySpark and Python Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and the use of GitHub Demonstrated ability
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analysis of single-cell and genomic datasets, including scripting and pipeline development in R and/or Python. • Contribute to the development, testing, and maintenance of reproducible software tools and
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., vLLM, SGLang, or similar inference engines) Strong computational and analytical skills, including solid software engineering ability across multiple languages (e.g., Python, C++, OCaml, functional
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, computational biology, or biomedicine, including methodological work and/or impactful computational studies addressing important biological or biomedical questions. Excellent programming skills in Python and
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the study of clouds and cumulus convection Strong conceptual understanding of cloud microphysical and turbulent processes Expertise in the use of modern scientific visualization software (Python, Matlab, etc
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• Strong coding skills in Python and/or C++, with experience in ROS/ROS 2 • Experience with robotics simulation platforms, such as Gazebo, Unity-based simulators, Isaac Sim