85 parallel-computing-numerical-methods-"https:" Postdoctoral positions at The Ohio State University
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conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
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learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health
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Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural evolution of metal alloys during
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-based mental health, practitioner capacity building, and community-engaged evaluation. This position is situated within CETEs Excellence in Engagement, and Evaluation (EEE) program area. The postdoctoral
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established numerical frameworks and commercial simulation platforms, including integration with laboratory and imaging datasets. The appointment is initially for six months, with expectation of renewal
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(https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and
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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments
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biofilms, microbiome, and interventions focused on ensuring food safety of hydroponically grown fresh produce. Design and implement research protocols; design safety procedures; adapt new procedures, methods
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Doctoral Scholar-NRSA awarded an extramural fellowship. Clinical and Translational Data Science Postdoctoral T32 Training Program. The goal of this postdoctoral training program is to leverage the large
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quantum devices. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how computational and theoretical methods can provide thermodynamic design