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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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the ecological processes and community dynamics that have enabled birds to persist at extremely low densities for centuries. According to stochastic theory, long-term persistence is not likely. We anticipate
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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optimization (theory, modeling, and tools). Candidates should apply at: https://www.princeton.edu/acad-positions/position/39361 and include a cover letter, CV (including a list of publications), research
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. Prepares research reports and technical papers for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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have a Ph.D. and research experience in experimental high energy physics. The successful candidate is expected to carry out novel physics analyses in the area of effective fi eld theory, as