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.) level program in Biochemistry, Chemistry, or a related field. Candidates must have demonstrated expertise in at least two of the following areas: bioinorganic chemistry, structural biology, microbial
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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Job Description The Quantum and Nanophotonics Section at DTU Electro is seeking a highly motivated postdoc to be a part of a program on ‘Symmetry-guided discovery of topological photonics’, led by
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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14853, United States of America [map ] Subject Areas: Nutrition Bioinformatics / Clinical , Computer Science , Mathematics , statistics Data Science Public Health Medicine (more...) Epidemiology Salary
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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for interdisciplinary research. The research program of ACER CoE is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different
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interdisciplinary exchange, a growing population science training program, and research support services designed to develop and nurture promising areas of new population research. Affiliates of the MPC benefit from