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Field
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knowledge of the Boltzmann and quantum Boltzmann equation as well as stimulated Brillouin and Raman scattering. General: Knowledge of scientific programming language(s) and computer simulation
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independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with the use of aseptic mammalian cell
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Knowledge, Skills and Abilities: Good computer and communication skills. Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: Knowledge of crop physiology and
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English, both spoken and written. Additional experience that would be considered a plus: - some experience in programming and the use of computer algebra in algebraic geometry; - experience with
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The Joseph Research Group at Princeton University is searching for postdoctoral candidates interested in computer simulation studies of intracellular spatiotemporal organization, biomolecular self
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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successful post-doc candidate will work with a professor of the College. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in Computer Systems
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the terms of the research grant when extending an offer. The ideal candidate will hold a PhD with research experience in Computational Science and Artificial Intelligence, and a track record of peer
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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with a PhD in Human-Computer Interaction, Remote Sensing, Geo-Information Science, Cognitive Science, or a closely related field. The ideal applicant possesses a strong technical foundation, as