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Field
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available in the laboratory of Dr. Sheila Kitchen in the Department of Ecology and Evolution at the Stony Brook University. We seek a postdoctoral candidate at the intersection of molecular ecology
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well as with theoretical researchers specializing in atomistic simulation, density functional theory (DFT), and ab initio molecular dynamics (AIMD). The successful candidate will also engage with collaborators
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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working across plant biology, including molecular biology, genomics and bioinformatics. UPSC provides advanced infrastructure for sequencing, single-cell technologies and experimental plant research, as
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computer science, computational biology, physics, or related field. Expertise in machine learning or AI. Experience with molecular dynamics simulations and computational workflows. Ability to work in teams
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work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract is
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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integrating literature, in-house, and newly generated experimental data Build surrogate and predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and
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, structural biology, microbial genomics, biogeochemistry, molecular evolution, and synthetic organic chemistry that will allow the design of interdisciplinary experiments to test origins of life questions
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive the translation of this strong basic