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-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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Python. You will work in a newly formed team of two postdocs and a PhD student, led by the PI (Ekaterina Ilin), and collaborate closely with both postdocs, who will be working primarily on a large optical
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 8 days ago
, experience sampling methods, or remote/ambulatory cognitive testing Experience in programming (R and/or Python) and data visualization Familiarity with fluid and imaging biomarkers
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synchrotron and XFEL experiments is an advantage Good programming skills, especially in Python Proficient in English and in writing scientific articles Excellent interpersonal and communication skills High self
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 12 days ago
research experience in RNA biology and/or high-throughput sequencing technologies would be a strong advantage Familiarity with programming languages such as R or Python for data analysis is beneficial
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, especially with OpenFOAM, Python, Matlab, etc. According to EC’s mobility rules, you must not have resided in Germany for more than 12 months during the last three years. What we offer The Technical University
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integration Strong programming skills, preferably in Python, for data analysis, simulation, and instrument control Proven ability to work independently on a complex technical project, from conceptual design to
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to process it strong interest in the topic of intertwined human and natural systems proficiency in Python beyond using an AI agent knowledge of good practices regarding scientific software development high
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of statistical and quantitative methods for analyzing complex, highdimensional datasets Good understanding of biochemical principles, including mass spectrometry Good programming skills (Python and/or R) Strong