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Field
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biopsies and develop and validate predictive models that support and enhance personalized care. Your tasks include: Designing and conducting scientific research, with a focus on machine-learning based
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wafers for compliance with the design requirements and the absence of production errors. This is the domain of wafer metrology. By illuminating a wafer and measuring the scattered fields, the scattering
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on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit
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of the BOC section , a highly collaborative and collegial environment. This role involves designing and instigating robust experimental protocols that will serve as a basis for the group’s future research
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design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies on accurate constitutive models that describe the behavior of the molten material during
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function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics – particularly statistical mechanics
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, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our
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models, designing controllers that exploit the system’s distributed dynamics, and validating them experimentally on soft robotic platforms in our lab. These include tentacle-like manipulators and soft arms
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Nature Management, or similar. Experience in designing and coordinating (field) research on (a high affinity with) Dutch flora and fauna, landscapes, and forms of (agricultural) management is required
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biomarker assays using state-of-the-art mass spectrometry? Join us as a PhD candidate and contribute to clinically relevant innovation. Information Protein tumor markers (TMs) in blood offer a promising