Sort by
Refine Your Search
-
Listed
-
Employer
- Universitat de Barcelona
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Institut de Físiques d'Altes Energies (IFAE)
- CRAG-Centre de Recerca Agrigenòmica
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- ICN2
- Computer Vision Center
- Fundación IMDEA Nanociencia
- Institute for bioengineering of Catalonia, IBEC
- Institute of Photonic Sciences
- Universitat Autònoma de Barcelona
- Universitat Pompeu Fabra
- Universitat Pompeu Fabra - Department / School of Engineering
- Barcelona Supercomputing Center (BSC)
- CIC energiGUNE
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- AMADE research group
- Achucarro Basque Center for Neuroscience
- BC3 - Basque Centre for Climate Change
- CIC biomaGUNE
- CSIC
- Centre de Recerca en Agrigenòmica
- Centro ibérico para la investigación del almacenamiento de energía (CIIAE)
- FUNDACION INSTITUTO INVESTIGACION SANITARIA FUNDACION JIMENEZ DIAZ
- Fundación IMDEA Materiales
- ICFO - The Institute of Photonic Sciences
- IFIC
- IRTA
- IdiPAZ
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institut de Recerca Biomèdica de Lleida (IRBLleida)
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Instituto de Neurociencias de Alicante, CSIC-UMH
- Josep Carreras Leukaemia Research Institute (IJC)
- Pompeu Fabra University
- Principe Felipe Research Center
- UNIOVI
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidad Autónoma de Madrid
- Universitat Rovira i Virgili
- 30 more »
- « less
-
Field
-
models, handling of biological samples, molecular and cell biology techniques, omics data analysis, and scientific writing. LanguagesENGLISHLevelGood Additional Information Eligibility criteria Indicate
-
LevelPhD or equivalent Skills/Qualifications The selected candidate will perform the following duties: - Experimental: generation and management of organoid models derived from patients, performance of high
-
adverse cardiac remodeling, including hypertrophy, fibrosis, and inflammation, and assess cardiac function in mouse models of heart failure using: Molecular biology techniques (RNA/protein extraction, RT
-
optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate surrogates
-
-like particles as candidates for dark matter. We perform tests of exotic models for Gravity beyond General Relativity, and cosmological measurements using GWs such as Hubble constant and probes
-
-like particles as candidates for dark matter. We perform tests of exotic models for Gravity beyond General Relativity, and cosmological measurements using GWs such as Hubble constant and probes
-
. Skills in modelling and analysis using machine learning tools. Experience in environmental and economic assessment and in feasibility and replicability studies. Scientific production (Q1) and technical
-
at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
-
phenomenology in the Standard Model and beyond (including collider, flavour, Higgs and neutrino physics), QCD and strong interactions, lattice QCD, effective field theories in hadron and nuclear physics
-
the social and environmental implications of proximity models, combining spatial, mobility and socioeconomic data to develop indicators and tools for the toolkit. The candidate will also assume coordination