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play an active role in the life of the program, organizing seminars, workshops, and conferences related to the chemical and Process Engineering stream. The candidate will also be expected to participate
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Ecology (future Natural Sciences) within three months of accession in the position. For admission to the programme an average grade at master’s level of B or higher is usually required (or the corresponding
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Ecology (future Natural Sciences) within three months of accession in the position. For admission to the programme an average grade at master’s level of B or higher is usually required (or the corresponding
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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of Czech Literature of the Czech Academy of Sciences (ICL) announces an open call for candidates to apply to the Programme to Support Prospective Human Resources – Postdoctoral Fellows (PPLZ). Candidates
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doctoral program in Computer Science and Engineering or related areas, duly proven at the time of contracting. Hold an academic degree and be enrolled in a non-degree granting course integrated in
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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Position as PhD Research Fellow in Machine Learning and Distributed Data Processing is available at the Department of Informatics, University of Oslo. Starting date preferably no later than 17.11.2025
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Country France Application Deadline 31 Oct 2025 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
Applicable Offer Starting Date 25 Aug 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PTDC/CTA-AMB/3263/2021 Is the Job related to staff