454 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Germany
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Would you like to gain experience in a modern and professional team and learn firsthand how research and development in the field of computational imaging works? Then you've come to the right place
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public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The advertised position is available for 3 years. We look
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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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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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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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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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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