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approaches. Experience with quantitative analysis of experimental data using Python, MATLAB or comparable tools. Ability to design, perform and troubleshoot experiments independently. Proficient communication
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programming skills (e.g., R, python, matlab, etc). We seek candidates that are team players who can play active scientific and social roles in a diverse and international lab setting. Strong oral and written
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, geoscience, physics, engineering or a related discipline. Experience with quantitative data analysis and scientific programming, preferably in Python is required. Experience with hyperspectral imaging
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, environmental data and experimental metadata. Experience with SciexOS is an advantage. Experience with Excel and/or data handling in R or Python is an advantage. Be thorough and able to work independently and
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natural language processing (NLP) is highly desirable. • Experience or education in health data science or a health-related field is a plus. • Good Python programming skills to implement and prototype
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in Python with the ability to implement and prototype research ideas. • A mathematical foundation to support the design and analysis of algorithms. • Curiosity, motivation, and strong
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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve
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or a related field; strong academic results and foundations in machine learning, linear algebra, probability and optimisation; and strong Python and PyTorch (or comparable framework) skills. Only
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis