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and analytical skills, including quantum theory, materials science and physical modelling Experience in programming, e.g., in Python or Matlab. Experience with quantum simulators, such as NetSquid, is a
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) or equivalent. C. Demonstrable experience* in the field of tasks to be performed in the project (max. 3.5 points): - Knowledge of Deep Learning (max. 0.75 points) - Python programming language and environments
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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
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the integration of hybrid heat pump–ORC systems. (b) Development and implementation of realistic simulation models (in MATLAB, Python, or equivalent software) for the thermodynamic and exergy assessment
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, quantitative analysis, performing medium-scale microscopy experiments, Python or Matlab programming, synthesizing information from the published literature, and use and development of machine learning algorithms
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the field of Mechanical Engineering – 5 points; in related fields – 2 points; other fields – 0 points. Proven experience in programming with Python – 5 points; with other programming languages – 2 points
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position b. Your familiarity with statistical software and programming languages (e.g. Stata, R, Matlab, Python, etc.) c. Your prior experience as a research assistant and/or with independent
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manuscripts for publication in peer-reviewed journals. Special knowledge, skills & abilities: Proficiency in programming language such as Python, C++, R and MATLAB. Strong theoretical understanding and
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physiology. Experience with molecular cloning, bacterial strain engineering or fermentation is a plus. Data analysis skills (e.g. Python, MATLAB) or experience with metabolomics and mass spectrometry are a
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, molecular cloning or bacterial genetics is a plus. Experience with metabolomics, mass spectrometry or data analysis (e.g. Python, R) is a plus. Excellent communication skills in English, both written and