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their footprint on science. Candidates should hold a PhD in Engineering, Mathematics, Physics or Geology and have a good knowledge on mechanics, hydrogeology, or seismology. We will value experience in
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biological environments - Experience using machine‑learning algorithms for luminescence signal analysis and sensing applications - Experience writing scientific articles and presenting results at conferences
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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or equivalent Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Education: • Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. • PhD in Physics, Materials
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FieldBiological sciencesEducation LevelPhD or equivalent Skills/Qualifications NECESSARY SKILLS REQUIRED -PhD in Bioengineering, Biomedical Engineering, Biotechnology or related -Previous experience in the design
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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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5 Dec 2025 Job Information Organisation/Company Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) Research Field Other Researcher Profile Other Profession Positions PhD
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regulated training activities and contribute to continuous training activities. Conduct research that allows the development of new AI methodologies based on deep learning that allow for assisting musical
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should possess a PhD in Computer Science or related area. We are looking for candidates who have publications in top conferences like NeurIPS, ICML, ICLR, CVPR, etc. A strong background in deep learning
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning