815 cloud-computing-"https:"-"https:"-"https:"-"https:"-"BioData" positions in Germany
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 2 months ago
portal for October 2026 intake. Our innovative graduate program IMPRS-MOB is set in the vibrant Rhine-Main region, connecting three leading scientific hubs: MPI for Heart and Lung Research in Bad Nauheim
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colleagues. Constraints that come with your studies will be respected. What you bring to the table We are looking for a student of computer science or a related field with a focus on speech technologies
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
organisms. Our program transcends traditional life science disciplines, combining pioneering methodologies and scientific approaches from various fields to address research questions that require
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, fostering a respectful and open collaboration with your colleagues. You actively contribute ideas and help to create a positive and motivating work environment. Education: You currently study computer
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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 1 month ago
, to begin on September 1, 2026. Each position will run for 3.5 years, with the possibility of extending once by six months. The IMPRS-KIR is a research-driven PhD program based in the history and philosophy
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, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
Mellon University, the Max Planck Institute for Astrophysics (MPA), and further institutions, have embarked on an ambitious program to improve our constraints on the initial conditions of the Universe
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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, evaluation, and presentation of measurement series for scientific publications What you contribute You are a student in the field of photonics, physics, engineering or a similar study program. You have basic
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