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programme Reference Number 2024/0028 Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship (BI) for PhD student 1Research Fellowship(s) (BI
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
to study biomarkers of disease initiation, we developed a biomimetic HDGC model combining organ-on-a-chip technology with HDGC patient-derived induced pluripotent stem cells. This in vitro platform will act
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Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 28 Mar 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through
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13 Mar 2025 Job Information Organisation/Company Gulbenkian Institute for Molecular Medicine Research Field Medical sciences » Health sciences Researcher Profile Other Profession Positions PhD
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; Jorge Manuel Oliveira Henriques IV - Work Plan / Goals to be achieved: Assessment of reliability in emotion recognition, based on machine learning methods and using EEG signals. The aim is to induce
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methods for the prognosis of diseases related to climatic factors, based on machine learning models and using hospitalisation data from municipalities in Brazil. Plan: - Study of the database
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for team work -Strong motivation to proceed to PhD studies -Good english language knowledge, spoken and written -Being enrolled in a PhD or in a non-academic degree course, until the signature
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Based on Symmetries, funded by Simons Foundation under the SFI-MPS-EWP-00008530-10 project reference. This fellowship is for a PhD student conducting research on the topological properties of Non
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. Support the development of a virtual assistant for the UAlg LMS Tutoria Eletrónica and the implementation of models for the early detection of students at risk of academic dropout from UAlg. Applicable
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duration for this research fellowship type. The fellowship is due to start in April 2025. . WORK PLAN: 1. Analysing the security and privacy risks of machine learning techniques, especially those based