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partners with whom we generate and study clinical effects of colostrum-replacer for compromised piglets who are unable to acquire own mothers’ colostrum. The majority of the experimental in vivo work is
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collaboration with a team of experts at FZJ (INM-9: Institute of Neuroscience and Medicine - Computational Biomedicine, IBI-1: Institute of Biological Information Processing - Molecular and Cellular Physiology
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Susanne Westhoff (Radboud University) in close collaboration with Dr Flavia de Almeida Dias (University of Amsterdam). This position is part of the research project ’Reconstructing 25% of the Universe with
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided
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looking for new challenges and you are eager to learn new methods You are a highly motivated team player with good communication skills Experience in some of the following fields will be of advantage
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. This project is carried out in collaboration with the Metals and Microorganisms: Biology, Chemistry and Applications team of the Biotechnologies and Cell Signaling Laboratory (BSC, UMR 7242), which develops new
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to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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-fed systems. The project will be jointly supervised by Dr Yagya Regmi and Prof Laurie King. This new project will be highly collaborative and interactive, and so you will have the opportunity to learn