8 zebrafish-neural-stem-cells Postdoctoral positions at Oak Ridge National Laboratory
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) for microstructural characterization of materials. Correlate irradiation conditions to the post-irradiation performance of novel materials. Coordinate with hot-cell personnel to collect post-irradiation mechanical
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that combines mechanistic ecophysiology with AI, such as: Physics-informed machine learning and neutral networks to investigate plant physiological / abiotic relationships Bayesian statistics and neural and
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, a proven publication record, and effective interpersonal skills. Preferred Qualifications: Knowledge of graph neural networks and other geometric deep learning approaches for graph-structured
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manufacturing techniques. Preferred Qualifications: Ph.D. in a technical STEM field with a focus on polymers or materials science. Hands-on experience in polymer synthesis and advanced characterization techniques
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Requirements: The prospective candidate should be well-versed with deep neural networks, have experience working on PyTorch or similar DL frameworks, programming in Python (preferred), NLP packages and pipelines
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to compose or participate in the composition of reports and peer reviewed publications. Major Duties/Responsibilities: Electrochemical analysis of anode corrosion. Design and evaluate special cells required
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such as classifier free guided diffusion models, transformers with multi-headed attention, physics-informed neural networks, materials foundational models with multi-task learning, symbolic regression
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of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell