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, Transformation and Resilience Plan. Part-time position. Start date: as soon as possible. Gross annual remuneration inherent to the square objected to this call, will be fixed based on the experience provided and
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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, and have high biocompatibility. Although there are already various types of membranes on the market that serve this purpose, there is no solution that meets all the mentioned requirements. To find a
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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 You can find de information in the follow link
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of transformative learning, identifying good practices and application contexts to adapt them to the context and objectives of the project. Accompany the Teaching and Research Staff (PDI) in the development
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cultures and molecular and cell biology experiments. -Detect ncRNAs in in vitro, in vivo, and human samples, including performing inhibition assays. -Carry out experimental work with mice. -Contribute
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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | 16 days ago
inherent to the square objected to this call, will be fixed based on the experience provided and the skills of the candidate, distributed in 12 payments. Flexible payment (childminding vouchers). 23 days
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focus our research in three main objectives: (1) to perform a precise genetic diagnosis of ultra-rare diseases causing disorders of motor development in childhood and adolescence; (2) to develop programs
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LanguagesENGLISHLevelGood Additional Information Additional comments Reference Offer: 2025DILIFRUA142 You will find the bases of the call in the following link: https://tauler.seu-e.cat/detall?idEns=11&idEdicte=595909
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are looking for an individual who can develop a PhD research project in alignment with the overarching objective of PARTY (investigating how (participatory) evaluation and learning processes can promote more