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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic
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and scope; higher education experience preferred. Proven leadership experience managing multi-disciplinary teams and large-scale capital projects. Strong understanding of sustainability principles, ADA
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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Astrophysics/Computer Science. The successful applicant will join the star and planet formation research group led by Dr Emma Whelan. For more information on the work of the group please see https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 40 minutes ago
trauma research at scale. emphasizing scientific leadership in trauma-related clinical research. This position centers on analytic strategy, data management, study design, team supervision, interpretation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 41 minutes ago
large scale, emergency care-based observational studies and clinical trials focused on outcomes such as posttraumatic stress disorder, depression, pain, and related somatic symptoms following traumatic
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comprehensive multi-tiered systems of support (MTSS) for student mental health in collaboration with school personnel, community-based providers of behavior health care services, community orgnizations, families
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(coupled via heterogenous multi-scale methods) friction/wear models (for modified load/torque transmission) and bone ingrowth models to predict primary and secondary fixation. Conduct in silico parameter
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reservoir characterization and satellite radar interferometry. The postdoc should contribute to and collaborate with other group members on multi-disciplinary research problems in induced seismicity
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, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly