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., under the following conditions: Work Plan: The scholarship holder will carry out research activities within the TwinCare project, focusing on the development of AI-based Digital Twin analytical models
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 1 day ago
microscopy. Quantitative image analysis to assess microglial localization, morphology, and density, as well as structural changes in the retina in retinal disease models. Statistical data analysis. Place of
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the Computational Hydrology teams at the University of Évora (Portugal) and the BUR_PC project team. Apply and contribute to the continued development of the FLUXOS hydrodynamic model for flood analysis, with
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: this call is open from 02/04/2026 to 16/04/2026. The application must include the following documents: CV, motivation letter, copy of academic records/certificates* and proof of enrollment in a MSc program
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references, current certificate of enrolment, proof of social involvement, 2 academic letters of recommendation, a copy of your passport and current transcript of records Additionally for doctoral candidates
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copy of the regulations. Help and support You can find answers to your questions about scholarships, awards and prizes on the University's online help and support centre, AskAuckland . If you can’t find
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We have several PhD, Research Assistant (RA) and master research thesis’s opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and
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/2019) *; * mandatory requirement Work plan: The candidate will carry out R&D activities within the scope of the SexFit2Care project, namely: Monitor an animal model for the induction of bladder cancer
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meteorological data; compilation of data on the incidence of relevant vineyard pests and diseases; study of environmental conditions favorable to their development. 2) Development of the predictive model (Months 3
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manufacturing techniques. Experience with simulation and data processing in MATLAB/SIMULINK and Python environments. Experience in the following areas will be valued: Experience in previous research and