Sort by
Refine Your Search
-
Employer
- Institute for bioengineering of Catalonia, IBEC
- ICN2
- Institute of Photonic Sciences
- BIOGIPUZKOA HEALTH RESEARCH INSTITUTE
- Computer Vision Center
- Josep Carreras Leukaemia Research Institute (IJC)
- UNIVERSIDAD POLITECNICA DE MADRID
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- CIC bioGUNE
- Centre de Recerca en Agrigenòmica
- FUNDACION INSTITUTO INVESTIGACION SANITARIA FUNDACION JIMENEZ DIAZ
- FUNDACIÓ ESADE - UNIVERSITAT RAMON LLULL
- Fundacion IMDEA Energia
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Fundació per a la Universitat Oberta de Catalunya
- Fundación IIS Aragón
- ICMAB
- ISGLOBAL
- Institut d'Investigació Biomèdica Sant Pau
- Instituto de Neurociencia Avanzada de Barcelona
- The Chinese Institutes for Medical Research (CIMR), Beijing
- Universitat Autònoma de Barcelona
- Universitat Politècnica de Catalunya
- Universitat Pompeu Fabra
- Universitat de Barcelona
- Universitat de les Illes Balears
- University of Deusto
- 17 more »
- « less
-
Field
-
-supervised by Prof. Jenny Nelson (Imperial College London), and Dr. Riccardo Rurali (ICMAB-CSIC). Main tasks: • Develop atomistic and coarse-grained models of the structure and dynamics of molecular
-
certain type of treatment, with potential impact in clinical practice and cancer research. This position is linked to the project BIOEURECA:Next-gen biomarker discovery: foundation models for tissue spatial
-
for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
-
of resistance to targeting therapies (antibodies, and antibody-drug conjugates) integrating clinical data, 3D cancer cell models, high-throughput approaches and co-culture systems. The successful candidate will
-
. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
-
gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
-
, development and interpretation of experiments using human cellular models, as well as the ability to work independently and make experimental decisions. Oral and written knowledge of both official languages
-
, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
-
biology, and the development of genome editing systems. Demonstrable experience in the study and manipulation of genetic elements and in insect experimental models. International postdoctoral experience
-
Description Mission: Manage and execute tasks related to morphodynamic modeling and data analysis. Functions to be developed: Design and execute advanced numerical simulations with the Q2Dmorfo model. Manage