287 web-programmer-developer-university-of-liverpool Fellowship positions in Portugal
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 15 days ago
; - Commitment to enrol in a PhD Program in the future and prepare fellowship applications; - Fluent (writing and speaking) in English and Portuguese; - The candidate must demonstrate an interest in the scientific
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, both in writing and orally; Strong competence in model development and data analysis; Ability to conduct research independently, as well as to collaborate within a team. WORK PLAN: The objectives
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of Science and Technology, University of Coimbra III- Scientific supervision/coordination of the grant: André Manuel dos Santos Mendes IV - Work Plan / Goals to be achieved: Embedded systems programming
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AINT – Artificial Intelligence in Tribunal - refª 2024.07523.IACDC, supported by the measure “RE-C05-i08.M04” – “Support for the launch of a programme of R&D projects focused on the development and
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criteria: - Criterion 1 – Academic background - Criterion 2 – Specific knowledge related to the work plan - Criterion 3 - Adequacy of the candidate's profile to the work plan to be developed. VII.II
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Important Note: This notice corresponds
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data exploration and processing; Knowledge of Generative AI models n mainly LLM's; Knowledge of satisfaction model analysis. Workplan and objectives to be achieved: The work plan aims at the development
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for Neuroscience and Cell Biology of the University of Coimbra. III- Scientific supervision/coordination of the grant: Pedro Ricardo Lucas Perdigão; Luís Fernando Morgado Pereira de Almeida. IV - Work Plan / Goals
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of the grant: José Paulo Pereira de Gouveia Lopes de Almeida; Aldina Maria da Cruz Santiago IV - Work Plan / Goals to be achieved: The objective is the development of research activities that contribute, in a
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human