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Field
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: Computer Science and Engineering Admission requirements: Concluded BSc in Computer Science or related fields, with knowledge in the areas of IT security, computer networks, and software engineering
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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
execution of cognitive behavioral tasks; - Acquisition and analysis of neural signals obtained through either in vivo eletrophysiological or neuroimaging methods; - Computer programming for data analysis
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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
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting
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global or low-resource settings. Experience with quantitative and/or mixed methods research. Skills Collaboration. Computer skills. Communication. Analytical skills. Required Documents Resume/CV Cover