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Field
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directly or indirectly support DDSS-supported projects or its mission. Candidates will be able to apply and further develop their technical skills in a dynamic research environment. The successful candidate
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding. The assays developed will be used to benchmark wildtype versus disease-derived mutants
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molecular biology techniques. Basic knowledge of statistical analysis and interpretation of biological data. First author of at least one scientific publication indexed in the ISI/Web of Science database
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models
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participate in lab meetings, research in progress seminars, and presentations at conferences. The Postdoctoral Associate will prepare manuscripts based on their research, aid in developing the PI’s grant
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systems, landscape architecture, food and nutritional sciences, ecology and evolution, marine science and oceanography, environmental sciences and meteorology, human ecology, entomology, and environmental
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development in a stimulating, supportive, and mentored environment. At a minimum, responsibilities will include assisting with the design and execution of research studies; analyzing datasets; preparing
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, Biochemistry, Chemical Engineering and scientific area related, aiming the Development of nonthermal strategies based on high-pressure for the inactivation of bacterial spores, in the scope of the project