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Field
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project milestones and contribute to technical reports and project updates. • Prepare manuscripts, presentations, and other scientific materials describing research methods and findings. • Prepare materials
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas
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computing, with a particular emphasis on methods tailored to study nonequilibrium quantum many-body systems. The position offers an exciting opportunity to contribute to cutting-edge research
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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should be motivated to develop AI methods and apply them to clinically or epidemiologically meaningful research questions. We are particularly interested in candidates with experience in longitudinal data
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building social cohesion and collective wellness in their local neighborhoods. Working at the intersection of human-computer interaction (HCI), community-engaged research, social computing, and civic
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of single-cell analysis methods to investigate quiescence at individual cell and population levels. Where to apply E-mail [email protected] Requirements Research FieldBiological
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the assigned component within the 33-month timetable, in consultation with the Principal Investigator. Conduct primary and secondary research using the methods specified for the component, including
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methods (e.g., variational autoencoders) applied to biomolecular dynamics data. ● Familiarity with elastic network modeling (ANM/GNM) or the ProDy software package. ● A track record of independent
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experiments, seeing projects through to completion). ● Hands-on experience with immunofluorescence, microscopy, bacterial culture, histology, or sequencing-based methods. ● Experience with animal