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models and algorithms requires working at the intersection of machine learning and mathematical optimization. Evaluating such algorithms requires close interaction with our industrial project partner from
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the gap between advanced machine learning and clinical application. Your tasks are: - Exploring molecular dynamics and proteomics methods to enhance variant interpretation, which may also include a role for
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project. Moreover, the project offers a unique opportunity to work in an international environment and to acquire valuable research experience. The PhD project The project analyzes the potential
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physics-based computer models. Impact: Evaluate knee joint laxity and then optimize surgery and treatment to reduce laxity while permitting natural range of motion. We are seeking a PhD researcher for a 4
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, computational fluid mechanics, high-performance computing, and physics-informed machine learning. Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and uncertainty
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related subject (or be close to completing the degree); demonstrated interest in AI reasoning systems, algorithms, IoT, context-aware pervasive computing, machine learning and data analysis, software
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modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer programming (e.g., R, Matlab, Python) Proficient communication skills in spoken and
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-resolution microscopy (PALM, Smdm), single-particle tracking, machine learning, and latest state-of-the-art biochemical analysis tools. You will explore how active enzymes drive cytoplasmic motion and how
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Research Group Twente: The research focus of the statistics group is on the development of statistical methodology for new data applications and the theoretical analysis of machine learning methods, in
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of bilingual speech and practical applications in speech recognition. Research focus: Acoustic and articulatory analysis of code-switching and borrowing. Development of machine learning models for automated