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the reference NORTE2030-FEDER-01786100, co-financed by the Northern Regional Program 2021-2027 (Norte 2030), published on the Euraxess portal, with the reference CEB-BI-53-2025, declare on my honour to have
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Country Portugal Application Deadline 8 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme
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Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Job Reference: Ref.48.25.442 Employer: International Iberian Nanotechnology
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are recruiting a new research associate to join our research team. Talented, skilled and self-motivated individuals are sought to carry out high-quality research in computational and experimental marine
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to the university’s doctoral programme in Ecology within three months of accession in the position. For admission to the Programme the weighted average grade B or higher is usually required. Co-operation between staff
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FUNDS FOR MODERN ECONOMY PROGRAMME 2021–2027 (FENG) “Development of an innovative, high-throughput platform for functional screening of human pancreatic endocrine cells" Project contract number FENG.02.03
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Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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for 36 month fixed term at 0.6 FTE (22 hours). Key Accountabilites Organising intervention sessions and data collection, including set up, implementation and analysis of the SleepBoost intervention program
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work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of
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team of researchers across five institutes working on 5 year programme grant Ocean Refuel. Ocean Renewable Energy Fuels project will explore ways of converting ocean energy into fuels including hydrogen