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: Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) Pay grade: 13 TVöD Place of work: Berlin and Hannover Limited for three years Application deadline
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interdisciplinary approaches and methods to study biomolecular condensates. The intrinsically interdisciplinary nature of this field poses particular challenges—especially in establishing a shared scientific data
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underlying spatial interactions. The aim of this project is to establish machine learning methods for multicellular systems and then combine them with an existing mechanistic model of our research group
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challenges facing modern societies. Specifically, the tasks are: Identify state‑of‑the‑art machine‑learning (ML) methods that can be applied to geochemical systems in geological contexts Assess these methods
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novel methods and strategies to fight infectious diseases faster and more effectively. Our common goal is to develop novel approaches for the prevention, diagnosis and treatment of infectious diseases
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developing methods to transfer ion-induced damage results to neutron-induced damage scenarios and accelerating material development cycles. The findings provide not only a scientifically sound assessment of
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the durability of materials and improve recycling processes. Be part of this change and explore cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy
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interdisciplinary projects. Development, testing, and evaluation of methods and software systems directly on our real test vehicles (see image) for automated driving. Application of modern software engineering
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biological methods • Practical experience with microbiological working techniques • Excellent command in written and spoken English Desirable qualifications: • An excellent university degree • Strong
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biological methods • Practical experience with microbiological working techniques • Excellent command in written and spoken English Desirable qualifications: • An excellent university degree • Strong