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of research techniques and/or methods. Excellent verbal and written communication skills. Working Conditions This position is expected to work a hybrid schedule. Application Documents Resume/CV (required) Cover
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actually effective in Europe. To this end, the postdoc will use econometric methods, such as those that have been successfully applied to similar trade datasets. The postdoc will also examine to which extent
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. To this end, the postdoc will use econometric methods, such as those that have been successfully applied to similar trade datasets. The postdoc will also examine to which extent these results deviate or match
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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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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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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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at the Information Technologies and Computer Infrastructures Unit of the Scientific Instrumentation Center (NTIII/CIC) of LNEC, without prejudice to the possibility of performing temporary missions in Portugal. 9
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Lisboa2030-FEDER-01317300. 3 – Financing source Lisboa2030, FEDER, Portugal 2030, European Commission 4 – Scientific area Computer Engineering, Computer Science, Data science, Information systems, Electronic
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cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may
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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