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motivated and talented doctoral candidate to work on the biophysics of host-pathogen interactions using in vitro model systems mimicking chronic diseases. The project foresees ample collaborative
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. engineer new nanopores (solid-state or biological). collaborate within an interdisciplinary team of biophysicists, nanotechnologists, and biochemists. present your findings at conferences and in high-impact
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, the student will collaborate with researchers who apply data assimilation and machine learning methods to the developed models. Your responsibilities: Analysing a global compilation of paleomagnetic sediment
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researcher will be part of the Nikhef LHCb research team in which the group in Groningen joins groups in Amsterdam and Maastricht. As a founding member of the LHCb collaboration, the Nikhef team has a long
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European CLARIFY project and continues this research with a postdoc, PhD student and lab technician. You will closely collaborate with clinicians to define clinically relevant questions, digitize pathology
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kinetic information. Evaluate bioconjugation modalities and probes for DNA/RNA and protein systems. Investigate mechanistic effects of biomolecules that were inaccessible previously. Collaborate within
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the main working language. The department is located at the Biomedical Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives
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College London) and Dr. Ingmar Visser at UvA. The project thus aims to quantify and model the remarkable learning efficiency of the human visual system. The project is an interdisciplinary collaboration
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives access to advanced infrastructure for experimental and theoretical studies