16 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Center for Biological Research "Margarita Salas" CSIC in Spain
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-off companies. CONTEXT AND MISSION We are seeking a postdoc to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https://qml.cvc.uab.es /) is part of
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Nanotools is a research group based at Vall d’Hebron Hospital (Barcelona, Spain). Our aim is to develop and validate novel detection strategies with diagnostic purposes https://vhir.vallhebron.com/es
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expertise in machine learning or computational modelling who are eager to advance conceptual innovation toward practical industrial deployment. Qualifications PhD in Computer Science, Machine Learning
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of science and technology. Further information about the members of the institute and their research interests can be obtained through our website: https://ific.uv.es Applicants are expected to have a
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development of analytical solutions, data analysis and machine learning. Candidates should have a demonstrated record of scientific publications in international journals and participation in conferences
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9 Jan 2026 Job Information Organisation/Company Consejo Superior de Investigaciones Cientificas Department Centre for Automation and Robotics (CAR) Research Field Engineering Researcher Profile
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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certificates. 4. Non-Spanish candidates should provide the document with the equivalence of average grades from university studies completed at foreign centers: https://universidades.sede.gob.es/pagina/index
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https