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2027. Research areas of interest for this position are open; however, we have a preference for approaches involving Large Language Models (LLMs), computational methods, behavioral genetics, or biological
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/ specifications / test methods / processes / manufacturing methods Test protocol development, benchtop / in vitro / in vivo testing, and report writing Employing analytic methods to evaluate concepts and designs
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
expected to begin in August/2026 and to be renewed. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
ROS2. Duration: The research fellowship will have the duration of three months. It’s expected to begin in august of 2026, and will not be renewed. It is mandatory to formalize applications with
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a fast paced commercial and or residential landscaping environment Working knowledge of the methods, materials, tools and equipment used in the landscaping trade Excellent interpersonal (oral and
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formally embedded in the Department of Intelligent Systems (DIS) and will collaborate closely with the Department of Computational Cognitive Science (DCS). The project The SHIELD project is a collaboration
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or life-like synthetic systems. Both the systems under investigation and the methods employed should usefully complement the existing research spectrum of the Physics Department and strengthen
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to state and local agencies, including the Natural Resources Districts across Nebraska Participate in the geologic mapping program. Prepare formal and informal technical reports and presentations
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of the principles and practices of mathematics and statistics Knowledge of research and analysis techniques and methods Knowledge of work-related subject area Knowledge of computers and software applications Ability
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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability