Sort by
Refine Your Search
-
Listed
-
Employer
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- ICN2
- Institut de Físiques d'Altes Energies (IFAE)
- Universitat de Barcelona
- Computer Vision Center
- Universitat Pompeu Fabra
- ASOCIACIÓN INSTITUTO DE INVESTIGACIÓN SANITARIA BIOGIPUZKOA
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Barcelona School of Economics
- Centre for Demographic Studies (CED)
- Centre for Genomic Regulation
- Consejo Superior de Investigaciones Científicas
- ELISAVA
- Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO)
- IMEDEA-CSIC-UIB
- Institut Català de Nanociència i Nanotecnologia
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Nature Careers
- Universitat Autònoma de Barcelona
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat Pompeu Fabra - Department / School of Engineering
- University Miguel Hernandez
- 14 more »
- « less
-
Field
-
-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
-
the LAMP group at the Computer Vision Center (CVC), in Barcelona, Spain. The position is for 2-3 years and linked to the project “Foundations for Adaptive and Generalizable Deep Learning” (EXPLORA
-
based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
-
Infrastructure? No Offer Description Experimental postdoc. Develop experimental approaches to studying learning in individual mammalian cells, following two potential paths. First, by following up the studies
-
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
-
the Bilingual LENS framework. Postdoctoral researchers at the BCBL can acquire mentoring skills by co-supervising Master’s and PhD students. Additionally, there is the opportunity to gain teaching experience
-
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
-
biological environments - Experience using machine‑learning algorithms for luminescence signal analysis and sensing applications - Experience writing scientific articles and presenting results at conferences
-
to develop and implement machine learning/deep learning tools for personalized medicine in cancer by exploiting electronic medical records and medical images in relation to cancer diagnosis and the
-
, including Machine Learning Interatomic Potentials. • Other research experience will be considered. Personal Competences: • Strong commitment • Attention to detail • Demonstrated ability to work with deadlines