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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
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frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional...
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Power Electronics) Posting Start Date: 15/07/2025 Job Description: Job Description • Manage the research project with
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(PhD) (completed or near completion) in Human-Computer Interaction (HCI), Communication, Computer Science, Information Science, Psychology, or a related field. Proven track record with publications in
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and thermal-aware design techniques for embedded systems. Contribute to research outputs and support timely completion of project milestones. Job Requirements: Preferably PhD in Computer Engineering
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Details Title Postdoctoral Fellow in Materials Science & Mechanical Engineering - Microelectronics and Soft Materials School Harvard John A. Paulson School of Engineering and Applied Sciences
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, at the Institute of Electronics and Informatics Engineering of Aveiro (IEETA) Research Unit, Portugal, with the following conditions: 1. Scientific Area: Informatics and similar areas. 2. Funding entity: Funded by
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with teaching, and research event arrangements Job Requirements: Applicants must possess PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. In-depth knowledge