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Field
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 165143 Is the Job related to staff position within a Research Infrastructure? No Offer Description Automation
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optimization of QML algorithms Noise mitigation in relation to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge
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/Qualifications Strong motivation to tackle challenging research problems. M.Sc. or equivalent in Mathematics, Computer Science, or Electrical Engineering Strong interest in applied optimization, AI/ML, algorithm
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optimality and allows influence to be assessed at various stages of optimization. 2. Addressing Computational Challenges** Applying influence functions to deep neural networks presents **computational
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doctoral programme in engineering Candidate should have average knowledge in mechanical design and functional optimizations. Candidate should be highly motivated to work in an interdisciplinary group
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Deadline 23 Nov 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
Applicable Offer Starting Date 27 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number LISBOA2030-FEDER-00853500 Is the Job related to staff
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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(finite element modeling, computational fluid dynamics), and proven experience with COMSOL Multiphysics. Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization