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Field
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) Estimated amount of work 0,2-0,6, or as agreed definite period Job Description/Responsibilities conducts independent research in the field of planning (strategic, community, urban) in relation to energy
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parameter estimation and uncertainty quantification. Work collaboratively with experimentalists and data scientists. Prepare code, figures, and documentation for publications and presentations. Minimum
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engineering Engineering » Computer engineering Engineering » Knowledge engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal
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of developing simulators for Post-Von Neumann architectures. The candidate would become a member of the Innovative Computer Architecture group and become part of the CogniGron research centre as well as the NL
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Characterization of Graphene Derivatives. b) Duration of the contract: The contract is indefinite, but its duration is estimated until the end of the budget item on 30/06/2025. The distribution of tasks is as
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capacity to engage in interdisciplinary scientific discussions (with biologists, biophysicists, computer scientists, etc.). Applicants must hold a Ph.D. degree and hands-on experience in cell/tissue culture
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AI, human-AI collaboration systems, computer vision (CV) models, and natural language processing (NLP) models. Candidates with expertise in any of these areas are encouraged to apply, as the position
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Topics and bibliography Topic: Artificial Intelligence, Deep Learning, Computer Vision For further details, please contact us at the e-mail address vlad.hondru@fmi.unibuc.ro , contact person: Asist. Drd
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oscillations. Parametric studies relating oscillation parameters to heat transfer metrics will be conducted. A key challenge is developing predictive models for estimating the Nusselt number as a function of the
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research techniques; or an equivalent combination of education and experience. Basic computer skills (Microsoft Office Products, Canva) Desired Qualifications Experience working with children Excellent