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in conjunction with a unique tip-enhanced spectroscopy instrument, currently under development in Prof. Rabitz's lab, to produce the world's first nanoscale dual-frequency comb laser spectrometer
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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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biology, multiomics and single cell methodology to drive projects focusing on modelling leukemia and immune cell dynamics with the goal to develop new personalised medicine approaches. As our new
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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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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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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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the Computing and AI Division at Los Alamos National Laboratory is seeking highly motivated Postdoctoral Research Associates to drive the research and development of novel sparse neural networks. This position is