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Field
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biology, biochemistry, cell biology, immunology, or microbiology Knowledge of computers, including Microsoft Word, Excel and PowerPoint. Working Conditions Lab Environment. Application Documents Resume
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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) Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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/crop science, computational biology, or a related field. Candidates with a background in applied physics or mathematics with a keen interest in biology are also welcome to apply. You have experience in
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energy due to their rapid growth combined witht their extensive biodiversity and alternative life histories. As part of a Norwegian Research Council funded research project we aim to develop strategies
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artificial intelligence, biology, (cognitive) neuroscience, genetics, linguistics, mathematics, neurobiology, neuroimaging, neurology, neurophysics, philosophy, physics, psychiatry, and psychology
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, chemistry, physics, electrical engineering, mechanical engineering, synthetic biology, material science, computer science, micro- and nanotechnology) from a recognised academic institution and the acceptance
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-structured, and carefully supervised training programme in systemic neurosciences and related fields. The following typical research topics serve as interdisciplinary links between the various fields