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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 15 days ago
. Understanding fish immune responses and parasite strategies throughout the infection process is essential for the rational design of control measures. In this context, the project aims to establish and maintain a
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. Your CV. Name and contact details of at least two referees (preferably including your MSc thesis supervisor). Transcripts of your MSc and BSc studies. Your MSc Thesis and publication list (if applicable
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-best ranked application will be selected, and so on and so forth. Notification and offer: The list with the final rank-order will be emailed to the applicants that underwent the evaluation process. The
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Regulamentos de Bolsas de Investigação - FCT , Regulamento n.º 950/2019 | DR . Selection process Application Documents: all documents must be submitted in PDF format a) Application Form Recrutamento | LNEG
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. The applicant is expected to apply for their own fellowship, and will be fully supported during the process Access to state-of-the-art infrastructure and core facilities in a vibrant, world-class
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17 Sep 2025 Job Information Organisation/Company Lunds universitet Department Lunds universitet, Naturvetenskapliga fakulteten, Fysiska institutionen Research Field Physics » Other Researcher
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research; Study transcript of the master’s degree; Publication’s list Other attachments, including letters of recommendation or certificates, are not required at this point. Applications must be submitted
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Benefits 2338,32 euros per month taxes included Eligibility criteria Master 2 degree Selection process Candidates should send a curriculum vitae with publication list, a short summary of research
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skills and model systems used. Additional valuable information includes a list of scientific publications or submitted manuscripts, participation in seminars, workshops, and conferences (specifying any
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems