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Brasil, 101 – 1700-066 Lisboa Country: Portugal Website: https://www.lnec.pt Email: recrutamento@lnec.pt The above activities shall be conducted at the Information Technologies and Computer
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PhD Research Fellow in statistical population ecology is available at Department of Biosciences, University of Oslo (UiO), within the Convergence Environment ’Methods for knowledge-based biodiversity
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qualifications: A strong background in algebraic topology. Experience in any of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming
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be funded within the scope of the research project “ARTEMIS” (Project no. 101188009, Topic - HORIZON-INFRA-2024-TECH-01-04), by the European Commission. 4 – Scientific area Computer Engineering
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of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation via
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for Science and Technology, Exploratory Research Projects in All Scientific Domains 2024, under the following conditions: 1.Scientific Area: Computer Sciences. 2.Admission Requirements: The call is open to
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, organizations, and societies. The group’s research has a socio-technical basis and is predominantly based on qualitative research methods. The fellowship period is three years. Depending on the candidate and the
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-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment
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approaches to fabrication prediction, structural and material optimisation, computer vision for process monitoring and quality assessment, and the integration of machine learning methods within design
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upcoming SPHEREx data. The candidate will perform all levels of data analysis, from the processing of raw data to maps to power spectrum estimation of resulting CIB maps. The candidate will also have the