12 parallel-programming Postdoctoral research jobs at National Renewable Energy Laboratory NREL
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at large scale. Primary Responsibilities Develop and implement novel mathematical optimization models (e.g., stochastic programming, robust optimization, mixed-integer linear programming) for medium-term
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one of the optimization solvers and platforms such as CPLEX, CVXPY, Pyomo, GAMS Proficiency in MATLAB or Python programming Preferred Qualifications Familiarity with microgrid, grid resilience, grid
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, REGFMB1, vendor-provided models) is a plus. Experience with software development in Python, C++, or other programming languages. Hands-on experience developing automated tools for accelerating contingency
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https://pubs.acs.org/doi/full/10.1021/acssuschemeng.5c0419 The successful candidate will be able to: Work safely and independently in a laboratory setting Learn new techniques and protocols Plan and
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Demonstrated experience with programming languages, such as Python or R Demonstrated experience with LCA tools, such as openLCA or SimaPro Understanding of biomass conversion research and processes Relevant
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to: • Work safely and independently in a laboratory setting • Plan and execute research in collaboration with other researchers • Communicate scientific results effectively
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• Plan and execute research in collaboration with other researchers • Communicate scientific results effectively, both in written and oral formats • Author peer-reviewed publications, and • Work
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Plan and execute research in collaboration with other researchers Communicate scientific results effectively, both in written and oral formats Author peer-reviewed publications Work effectively in a
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methods Prior experience with high-throughput experimental (combinatorial), data-drive, or AI/ML-assisted research methods and techniques. Active computer skills in programing (e.g. C or Igor Pro, Python
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Demonstrated experience with programming codes such as Python or R Demonstrated experience with LCA tools such as Brightway, openLCA or SimaPro Understanding of biomass conversion research and knowledge