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Field
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: 35* Days Annual Leave (pro rata if part-time) plus Bank Holidays* & Closure Days* Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities
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- One Method Does Not Fit All: Co-design of Context-aware Adaptive Mobile Authentication for Older Adults”, “2024.14974.PEX”, “DOI: https://doi.org/10.54499/2024.14974.PEX ”, funded by the Fundação para a
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directions, writing manuscripts, presenting scientific findings, preparing grant and fellowship applications, mentoring junior trainees, and building a long-term career plan. The position is well-suited
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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possible renewals, a cumulative period of four years of research fellowship intended for doctoral students. Preferential factors: Research experience in the areas of Bioinformatics and Machine Learning
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licensed therapeutic school from preschool through high school. Specialty services include the New Jersey suicide prevention helpline and peer help lines for police, veterans, active military, teachers
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, NORTE2030, under notice MPr-2023-7, under the following conditions: Scientific Area: Electronics and Computer Engineering or related areas. Recipient category: The open position is for candidates holding a
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research activities relevant to the project's research topic and work plan, will also be taken into consideration. Workplan and objectives to be achieved: This project aims to develop and apply Artificial
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on eligibility: Generous annual leave: 25 Days Annual Leave plus Bank Holidays & Closure Days Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance Programme Development opportunities
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arrangements, job share, or part time hours will be considered. Design new algorithms and systems at the cutting edge of artificial intelligence research Collaborate with a vibrant and internationally recognised