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Field
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(e.g., Python, Fortran, and task automation in a Linux environment) (25%); ii) scientific output (e.g., published scientific articles, conference proceedings in the field of air quality) (25%); iii
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. Knowledge, Skills, and Abilities: Advanced in data analysis, modeling, machine learning, and AI, using Python and SQL, with extensive experience in libraries and frameworks such as Pandas, NumPy, scikit-learn
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. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python for high-performance computing environments. Coordinate data generation with clinical and experimental partners, including
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analysis in a research context Proficiency in R and/or Python for statistical analysis and pipeline development Familiarity with causal inference or genetic epidemiology methods (e.g., Mendelian
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and simulation using tools such as MATLAB/Simulink, DIgSILENT PowerFactory, OpenDSS or equivalent programming in Python, MATLAB or similar languages optimisation, control theory, machine learning
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building optical imaging systems; Experience developing acquisition/control software; Proficiency with optomechanical components; Programming experience in Python or C++. Non-compliance justifies exclusion
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the start of employment, in bioinformatics, computational biology, computer science, data science, statistics, systems biology, or another relevant discipline Strong programming skills in Python and/or R
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or precision measurement applications - programming skills (preferably Python), databases, data visualisation, and version control - general laboratory skills (especially: optics, opto‐mechanics, opto
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(especially: optics, opto‐mechanics, opto‐electronics, RF‐electronics) - good knowledge of analog and digital electronics - programming skills (preferably Python), databases, data visualization, and
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(preferably with experience in Python) - good knowledge of analog and digital electronics - knowledge of space design and safety standards - gender and diversity sensitivity Your path to the HU