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-effectiveness of strategies for preventing long-term central venous catheter-related infections in oncology services. Responsibilities include data analysis using Python and R, health economic evaluations
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closely related quantitative discipline. • Strong programming skills with demonstrated proficiency in R and/or Python for large-scale data analysis. • Experience analysing large-scale
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on and adapt existing Python-based tools for the segmentation and analysis of compound eye structure (e.g. Currea et al. 2023, Comms Biol https://doi.org/10.1038/s42003-023-04575-x ), for application
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in dynamic environments. The role will involve the design and analysis of control algorithms based on mathematical and optimisation tools, their implementation in Python, validation through simulations
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at the Department of Astrophysics, in particular Univ.-Prof. Dr. João Alves and Dr. Stefan Meingast . Where to apply Website https://iventajobdata.eu/bestmedia/img/2496968/2000123/cl/3e9d72f2e748bae2b0855
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, or a closely related quantitative field, together with strong programming skills, for example in Python or R. You are welcome to apply should you have a degree in applied parts of statistics
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hardware DAQ and software in MATLAB, Python, C++, and/or Visual Basic. Schedule, perform (as appropriate), and calculate metrics for sensor calibrations for test instrumentation. Assist with regular tunnel
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should have a good knowledge of scientific programming (e.g., Python, C, Fortran) and finite-element or finite-difference schemes. It will be an asset if the candidate has prior research experience in
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Python scripts, calibrate specialised instrumentation and solve technical challenges that directly support researchers conducting experiments in a unique outdoor laboratory. Working alongside researchers
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++, python etc. Knowledge of Electrical or Software Engineering and Cybersecurity are plus. Good writing skills for writing proposals, reports and publications in good academic journals Completed application