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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
6 Mar 2025 Job Information Organisation/Company Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. Research Field Biological sciences » Biology Biological sciences
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: Research area/s: Medical and Health Sciences. 2. Admission requirements: To apply for the research studentship, applicants must comply with the following requirements, for which documentary evidence must be
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within the scope of the operation A-MoVeR - Mobilizing Agenda for the Development of Intelligent Green Mobility Products and Systems, namely: 1) Development of prototype production methodologies; 2
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1 Year, partially funded MSc by Research studentship (HEIF funding) Eligibility: Home UK/EU applicants who must be permanently resident in UK (settled or pre-settled status) Bursary p.a: No bursary is attached to this funding. Funding is for university course fees only. University fees and bench...
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on the state-of-art of realtime object tracking using RGB and RGB-depth images. T3: Development of prototype aplications to evaluate marker-based and markerless tracking technology in the task of real-time
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the Faculty of Health and Medical Sciences in the area of Dentistry; and be undertaking a research project that includes a fieldwork component. Value and Tenure: The award will be $10,000 per annum
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Environment; 4) Prototyping; 5) Testing and Evaluation; 6) Prototype Integration and Validation; 7) Publication of Results and Dissemination of Generated Knowledge. Applicable legislation and regulations: Law
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Characterization of Materials; 3) Hypothesis Formulation and Development in a Laboratory Environment; 4) Prototyping; 5) Testing and Evaluation; 6) Prototype Integration and Validation; 7) Publication of Results and
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f actual, reliable, and safe responses by LLMs and LVLMs (multimodal). • Integration of the developed contributions in the project prototype. • Coordination of activities with the other project
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images. If necessary, an interview will be held. In this case, the classification will be based on the weights of 75% (scientific and technological skills, experience) and 25% (interview). The selection