59 evolution "https:" "https:" "https:" "https:" "https:" "https:" positions at Center for Biological Research "Margarita Salas" CSIC in Spain
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research of excellence to inspire a society in harmony with the blue planet, in line with the values of the United Nations Decade of Ocean Science for Sustainable Development (2021-2030). For further
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna COBR-6125 Call for selection of research asistants https://sede.urjc.es/tablon-oficial IN SPANISH
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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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research interests can be obtained through our website: https://ific.uv.es Applicants are expected to have a competitive research track record in theoretical particle physics, and a strong commitment to
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. Requirements Specific Requirements https://cfm.ehu.es/about-cfm/job-offers/ Additional Information Additional comments https://cfm.ehu.es/about-cfm/job-offers/ Work Location(s) Number of offers available1Company
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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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-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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research activity of the group on nanostructured superconductors for applications in quantum technologies (SuperQMat group, https://icmab.es/superconducting/superqmat ) The position is in the framework
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del Rey Website https://autopia.car.upm-csic.es Street Ctra. de Campo Real, km. 0,200 Postal Code 28500 E-Mail jorge.villagra@csic.es STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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ACTIVITIES IN THE RESEARCH AREA OF DEVELOPMENT OF AN ADVANCED PLATFORM FOR THE DIAGNOSIS AND TREATMENT OF NASAL OBSTRUCTION USING 3D MORPHOMETRY, FLUID MECHANICS AND MACHINE LEARNING AUTOMATIC. (C-059/25