Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Fundació per a la Universitat Oberta de Catalunya
- ICN2
- UNIVERSIDAD POLITECNICA DE MADRID
- Institut de Físiques d'Altes Energies (IFAE)
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Barcelona Beta Brain Research Center
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
- CIC nanoGUNE
- Centre for Genomic Regulation
- Computer Vision Center
- Consejo Superior de Investigaciones Científicas
- Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO)
- Fundación Investigación Biomédica del Hospital de la Princesa
- IMEDEA-CSIC-UIB
- INSTITUT D'INVESTIGACIO SANITARIA PERE VIRGILI
- IRB Barcelona
- Institut Català de Nanociència i Nanotecnologia
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Josep Carreras Leukaemia Research Institute (IJC)
- Universidad Politecnica de Cartagena
- Universidad Pontificia Comillas
- Universidad de Alicante
- Universitat Pompeu Fabra
- Universitat de Girona
- University Miguel Hernandez
- University of A Coruña
- University of Granada
- universitat de barcelona
- 19 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 production of polymer latexes that involves a complex, heterogeneous polymerization system and leads to polymers with a diverse range of structures. This project looks to use machine learning to better target
-
. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
-
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
-
field with a strong academic background in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are
-
, Telecommunication Engineering, or a related field with a strong academic background in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the
-
with a strong academic background in Machine learning, Natural Language Processing, and/or Software Development. Applicants with an experience in one or more of the above academic fields are encouraged
-
programming You have experience with modeling, statistical analysis and/or machine learning Experience with DNA- or RNA-sequencing data analysis is a plus Education and training You hold a PhD degree in
-
AI4Science project, specifically focusing on the intersection of advanced machine learning and sustainable catalysis discovery. The primary incentive of this Postdoctoral Fellowship is the chance to contribute
-
infrastructure (e.g. Observatorio del Roque de los Muchachos) Hands-on training in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international