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computational cluster and/or high-performance computer with Linux OS. Excellent oral and written communication skills and a collaborative working mindset. Strong publication record in closely related research
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, machine learning, and AI techniques to analyze complex datasets and uncover actionable insights. Co-author and support high-impact, interdisciplinary research publications in leading sustainability and
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for other critical illnesses including trauma, neurologic emergencies, sepsis, acute respiratory distress syndrome and heart failure. This is a 2-year position with an option to extend based on performance
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. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking into consideration protective interventions
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POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Collins Genomics Lab to lead pioneering studies of genetic risk for cancer based on large-scale genome sequencing datasets towards the ultimate goal
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to one component of the R35-funded mechanobiology project, which may include: - Computational modeling and quantitative analysis of multicellular morphogenesis. - Experimental studies using multicellular
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multiscale and multiphysics modeling for thermomechanical effects on high performance heat spreaders based on materials such as diamond thin films. Collaborate with experimental groups on characterization
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our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present
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computational, experimental, observational, and theoretical approaches. Existing research programs at KIPAC span many areas of astrophysics and cosmology and include studies of dark energy and cosmic dynamics
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benefits from the Vera computing cluster at the Pittsburgh Supercomputing Center, which provides high-performance computing resources on a variety of scales and works closely with our scientists. Fellowship