21 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Postdoctoral positions 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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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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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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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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and their 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
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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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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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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