21 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at Faculdade de Ciências e Tecnologia in Portugal
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delegation of responsibilities. Members: - Doutora Angelika Gründling, Full Professor, Section of Molecular Microbiology, Imperial College London; - Doutora Elsa Maria Ribeiro dos Santos Anes, Full Professor
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. Preferential Factors Knowledge of machine learning, information retrieval, and natural language processing. Experience with conversational models and systems. Knowledge of Large Language Models (LLMs) and Large
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application form, which is available at http://www.fct.unl.pt/faculdade/concursos/docentes , where the candidates must state their consent to communications and notifications related to this recruitment process
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on the Caparica Campus, in the Department of Life Sciences, UCIBIO – Unit of Applied Biomolecular Sciences, Glycoimmunology Group-https://glycoimmunology.webhost.fct.unl.pt , under the scientific supervision
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. 6. Workplace The work will be carried out at the Department of Electrical and Computer Engineering of the NOVA School of Science and Technology of NOVA University Lisbon, under the scientific
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the relevant application form, which is available at http://www.fct.unl.pt/faculdade/concursos/docentes , where the candidate must state their consent to communications and notifications related
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stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. Previous experience in machine learning applied to dynamic systems or orbital
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to provide the supporting documents by the grant contracting stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. 4. Work Plan The work
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-516Geofield Contact City Caparica Website https://www.fct.unl.pt/ Street Campus de Caparica Postal Code 2829-516 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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Caparica Website https://www.fct.unl.pt/ Street Campus de Caparica Postal Code 2829-516 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo