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as Python or C/C++ • Experience with at least one major deep-learning framework, preferably PyTorch • The ability to work both independently and collaboratively • Excellent communication skills and
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Birmensdorf ZH, Kanton Zürich | Switzerland | about 17 hours ago
Python), statistics, risk assessments, and data science. A good publication record with respect to your career stage and research interests in climate change and hydrology complete your profile. We
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analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to
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approaches for drug design by combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038
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, ranks among the top 20 universities worldwide and offers an exceptional working environment with very competitive salaries. The IMOS Lab (https://www.epfl.ch/labs/imos/ ) offers a highly motivating
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research; Experience with quantitative data analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to
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-method research (e.g., interviews with key stakeholders). Experience with statistical or analytical software such as Stata, R, Python, or similar tools is an advantage. Excellent written and spoken
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postdoctoral position is available in the laboratory of Prof. Alex Persat (EPFL School of Life Sciences, https://www.p-lab.science/ ) to establish a new image-based drug screening platform targeting