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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 11 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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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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delivery of the seminar, we are seeking a reliable student research assistant with practical programming experience in Python and R. The position is limited to 12 months. Working hours amount to 10 hours per
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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
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Information Engineering Machine Learning and Data Science Embedded Systems and hardware-oriented development Modeling and simulation of complex systems Experience with Python, MATLAB, and/or C/C++ Strong
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research on perovskites and/or organic semiconductors Demonstrated experience in global and deconvoluted data fitting, programming in Python and Matlab, as well as electronic structure modeling Intercultural
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bachelor's and master's program, in particular in those courses related to this call. You have very good programming skills in Python and ideally also C++. Proven experience in code development is crucial and
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super-resolution microscopy (e.g. STED, SIM) or single-molecule tracking - knowledge of a scripting language or data analysis tools (e.g. Python, R, or similar) What we offer: - a modern
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representations and their alignment with humans Development of Python code Collaboration on publicly funded projects Publication of research papers and patents Travel to international conferences, participation in
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strong background in image processing and analysis, including deep learning experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C