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Recent or soon-to-be completed (typically within the last 0-5 years ) Ph.D. in Computer Science, Electrical Engineering, or a related field. Demonstrated research expertise in AI and machine learning, with
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obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research experience and solid expertise in one
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mechanisms of functional nucleic acids and the various proteins that interact with them. This multidisciplinary research environment integrates concepts from biology, chemistry, physics, computer science, and
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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, computational neuroscience, biomedical engineering, or a closely related quantitative STEM discipline. A strong background in cognitive, behavioural, and/or systems neuroscience, with relevance to learning
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Requisition Id 16104 Overview: The Quantum Heterostructures Group is seeking outstanding candidates for a postdoctoral position in quantum information science. You will conduct experimental
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multidisciplinary focus on further advancing the science and technology of additive manufacturing (AM). This position will work with faculty across various departments with an interdisciplinary approach to AM
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Programme Grant that brings together a team of researchers from the universities of Durham, Leeds and Manchester investigating the formation of Molecular Solid Solutions (MoSS). Solid solutions are created
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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-mediated knockdown (KD), and validation of engineered cell lines. Executes molecular and biochemical assays such as qPCR, Western blotting, FACS experiments and analysis, ELISA, flow cytometry, and