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forefront of protein science and biophysics—tackling the molecular origins of neurodegenerative diseases of the brain. The overall aim of the research is to achieve a deep understanding of how protein
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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Post doc position in theory of machine learning at Department of Computer Science, Aarhus University
Kasper as well as Ph.D. students and post docs in the group. The candidate is expected to have a strong theoretical background and to be able to carry out proofs independently or with minor guidance. It is
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of two riboswitches in complex with small molecule ligands. Further, different biophysical screening modalities will be compared for the identification of fragment hits for RNA targets. The PhD student
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Two funded PhD positions at SDU Physics - Interdisciplinary research projects within experimental...
have: * a Masters degree in physics, biophysics or a related discipline, or equivalent research experience * an interest in biological physics * a desire to work in an inclusive, collaborative and
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) of mathematics, mathematical physics or theoretical physics. The successful candidate will have some background in mathematics, particularly topology and category theory, as well as some knowledge of
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responsibility for progress and quality of projects. Proved expertise in computational/theoretical physics, chemistry, materials science and related areas. Proved expertise in materials modelling is required. You
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, several parameters and estimates may be ambiguous, i.e., imprecise, or unknown. Particularly, experimental research has shown that people are averse to such ambiguity, and theoretical researchers have
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with strong interconnection between experimental and theoretical physics. We provide a large network of collaborators to develop ideas and new projects. Excellent experimental research infrastructure