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into concrete tractable problems you can solve. Be equally passionate about rigorous mathematical reasoning and hands-on Python implementation (PyTorch, JAX, …) in HPC environments. Communicate clearly in English
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to unravel the complexities of disease at the systems level – from molecules and cells to organs and entire organisms. Through strong academic, clinical, and industry partnerships, as well as global networks
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, or similar. You have laboratory experience and an interest in developing your bioinformatic skills. You have very good written and oral communication skills in English. Requirements: The position
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languages such as Python or R Ability to conduct independent scientific research Experience working with large datasets is an advantage Excellent communication skills in English (both written and spoken
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experience in remote sensing and programming is a plus (e.g., using QGIS or R) Good communication skills Ability to work in a team Your tasks You will conduct research on the use of remote sensing data
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training as part of the language courses in German offered internally Initiative, ability to work in a team, excellent communication skills, and an interest in independently and autonomously developing a
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, France. It is also part of a broader psychological research network focusing on eye tracking. Your tasks will include: Planning and conducting laboratory experiments Analyzing experimental data with a
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infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities to cascading hazards, particularly NaTech (Natural
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International Max Planck Research School for Living Matter | Dortmund, Nordrhein Westfalen | Germany | 15 days ago
within a Research Infrastructure? No Offer Description Dortmund, Germany Application Deadline: October 8th 2025 Are you eager to join an international community of scientists to tackle novel and exciting
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Description Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities to cascading hazards