Sort by
Refine Your Search
-
Program
-
Employer
- Universidad de Alicante
- BARCELONA SUPERCOMPUTING CENTER
- Biobizkaia Health Research Institute
- CSIC - Institute of Astrophysics of Andalucia (IAA - CSIC)
- Consejo Superior de Investigaciones Científicas
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Fundació per a la Universitat Oberta de Catalunya
- Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM)
- IMEDEA-CSIC-UIB
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Institut Català de Nanociència i Nanotecnologia
- Institut de Físiques d'Altes Energies (IFAE)
- Institut de Robòtica e Informàtica Industrial CSIC-UPC
- Josep Carreras Leukaemia Research Institute (IJC)
- UNIVERSITAT POMPEU FABRA
- Universidad Nebrija
- Universidad Politecnica de Cartagena
- Universidad Pontificia Comillas
- Universitat de Girona
- universitat de barcelona
- 11 more »
- « less
-
Field
-
Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 14 days ago
, scikit-image, SimpleITK, etc.), will be given special consideration. Knowledge of machine learning and artificial intelligence techniques is a plus. Previous experience in code parallelization, the use
-
and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
-
of the Alhambra and the Generalife. Project 2 — Machine learning for energetic-particle transport in thunderstorms This project explores machine-learning (ML) techniques to accelerate the numerical simula- tion
-
the neurovascular space. Knowledge of neurovascular anatomy, acute stroke, endovascular treatments, neuroendovascular devices for the treatment of stroke. Ability to generate machine learning analysis of medical
-
. 3 or more years of demonstrable experience in machine learning theory. Excellent teamwork and communication skills Fluent in English The candidate who has obtained the highest score in the selection
-
software. (0-35) Experience in the application of advanced machine learning techniques (e.g., graph neural networks, reinforcement learning, probabilistic models, or latent representations) to biomedical
-
. 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
-
, etc.) o Energetic frustration or protein energy landscape analysis o Machine learning in protein science o +2 years of experience after PhD Knowledge of evolutionary biology concepts (phylogenetics
-
performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
-
platforms. Experience in development of digital twins or physics-informed machine learning models. Experience in programming (e.g., Python or equivalent) and development of control or data acquisition