446 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions in Germany
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.: CAR-T, Virotherapy, BiTEs). We aim to use small DNA molecules to cleave target sequences and thereby improve anti tumor immunity. Experience in immunology, tumor biology, molecular biology, and delivery
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advantageous Good communication and information behaviour, goal-oriented and structured way of working Ability to work in a team and willingness to cooperate, willingness to learn We offer: Attractive and modern
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problems thereby achieving productive and meaningful progress. Method Courses: In method courses, PhD students learn up-to-date methods directly linked to the individual PhD project. Summer Academy: In
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the areas of laser and optics, electronics, programming, and computer-based data analysis is beneficial What we offer 👥 Team Spirit: Creative, interdisciplinary environment with a motivated team, flat
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of polishing processes for machining reflective optics made of glass and metal for applications in instrumentation for space, astronomy, and lithography Continuous improvement and implementation of processes
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of machine design and the fundamentals of textile technology are an advantage Basic knowledge of programming (e.g., Python or MATLAB) is an advantage You have some experience working with CAD software
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private machine learning: Differential privacy (DP) is the gold-standard for privacy protection, but deep learning models trained with DP suffer from privacy-utility trade-offs. You will develop novel model
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knowledge of Office-Applications - experience in quantitative and/or qualitative social research, preferably mixed methods; - knowledge or willingness to learn literature organization (Zotero), including
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
Job Offer from December 18, 2025 Thinking, understanding, learning – these are the main areas of research at the Max Planck Institute for Biological Cybernetics. Over 300 scientists are working with
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, not far from the historic old town. On its campus, around 6,000 students will learn from and work with around 200 professors and numerous academic and administrative staff. The academic organization