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Field
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and
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programme Reference Number AE2025-0593 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0593
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and Electrical and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy Societal digital transformation
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Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID promotes cooperation
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academic credentials – see formal grade requirements below Good oral and written communication skills in English (see https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 ) Desired
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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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5 Jan 2026 Job Information Organisation/Company Politécnico de Leiria Department ESTG – School of Technology and Management – Department of Computer Engineering Research Field Engineering » Civil
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computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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of Beira Interior (https://www.ubi.pt/Entidade/idl ), under the following conditions: Research Field: Communication Sciences, Marketing, Journalism, International Relations and related areas. Objectives