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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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to external bodies. Applicants will possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge
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funded by a Novo Nordisk Foundation Exploratory Interdisciplinary Synergy grant. The project aims to develop new antibiotic compounds that evade both current and likely future resistance mechanisms
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of lithium-ion batteries. You will design, implement, and analyze experiments to establish properties such as thermodynamic factors, conductivity, diffusivity, and transference numbers. Work will begin with
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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for tires. This position is part of the Strategic Research Program “Tire as a sensor” in the joint project with Goodyear SA and explores how to transform mechanical energy from tires to a useful electrical
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Postdoc will be positioned to the Esbjerg Section. Research areas will be within Advanced Process Monitoring and Control. Your competencies The candidate should have a PhD degree in control or automation
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-brain function. As such, you will collaborate with an enthusiastic team of PhD students and postdocs from the lab of Mark Verheijen, as well as from other labs of the consortium at the VU and AUMC
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-performance single-photon sources based on semiconductor quantum dots (QDs) in cavities [1]. In particular, we have developed efficient interfaces between a single material qubit (the spin of a single charge in
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heterostructure. These spins can be manipulated electrically owing to the intrinsic (or to a synthetic) spin-orbit coupling, and get entangled through exchange interactions, allowing for the implementation of a