29 evolution "https:" "https:" "https:" "https:" "https:" "https:" research jobs at Center for Biological Research "Margarita Salas" CSIC
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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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the supervision of Prof. Dr. Marilene Proença Rebello de Souza, within the project Center for Science for the Development of Basic Education: Learning and School Coexistence (CCDEB) (FAPESP Process 2024/01122-7
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the supervision of Prof. Dr. Marilene Proença Rebello de Souza, within the project “Center for Science for the Development of Basic Education: Learning and School Coexistence (CCDEB)” (FAPESP Process 2024/01122-7
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oriented to improve digital skills. Access to CSIC infrastructure (e.g., HPC, Bioinformatic and Computational Biology Connection) Where to apply Website https://docs.google.com/forms/d/e/1FAIpQLSeGVtNv_
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staff position within a Research Infrastructure? No Offer Description The Center for Science for the Development of Basic Education: Learning and School Coexistence (CCDEB) announces a call for one
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- Astroparticle and Neutrino Physics 3- Experimental Nuclear Physics 4- Development of Advanced Particle Detectors 5- Scientific Computing and Data Analysis 6- Societal and Technological Applications Researchers
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to develop novel glycan-based technologies contributing a more sustainable agriculture. More information about the group can be found here: https://www.cbgp.upm.es/index.php/es/ WE ARE LOOKING: For a highly
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directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/8782 . Where to apply Website http://www.fapesp.br/oportunidades/8782 Requirements Additional
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. Position and Project Description We are offering a research assistant position at the IBF (Leioa), under the supervision of Dr. Dmitry Sinelshchikov. The research project focuses on the development of novel
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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