Sort by
Refine Your Search
-
Listed
-
Employer
- ICN2
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Institut de Físiques d'Altes Energies (IFAE)
- Computer Vision Center
- Institut Català de Nanociència i Nanotecnologia
- Universitat Pompeu Fabra
- Universitat de Barcelona
- 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
- Consejo Superior de Investigaciones Científicas
- Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO)
- IMEDEA-CSIC-UIB
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Universitat Autònoma de Barcelona
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat Pompeu Fabra - Department / School of Engineering
- Universitat de Girona
- University Miguel Hernandez
- universitat de barcelona
- 12 more »
- « less
-
Field
-
=50415 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Advanced skills in Machine Learning and Artificial Intelligence Proficiency in spoken and written English
-
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
-
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
-
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
-
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
-
biological environments - Experience using machine‑learning algorithms for luminescence signal analysis and sensing applications - Experience writing scientific articles and presenting results at conferences
-
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
-
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
-
, including Machine Learning Interatomic Potentials. • Other research experience will be considered. Personal Competences: • Strong commitment • Attention to detail • Demonstrated ability to work with deadlines
-
and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will