Sort by
Refine Your Search
-
Listed
-
Employer
- Universitat Autònoma de Barcelona
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat de Barcelona
- Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC)
- Barcelona School of Economics
- Biobizkaia Health Research Institute
- Botanical Institute of Barcelona
- CRAG-Centre de Recerca Agrigenòmica
- Centre for Genomic Regulation
- Consejo Superior de Investigaciones Científicas
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- ISGLOBAL
- Institut Català de Nanociència i Nanotecnologia
- Institut de Físiques d'Altes Energies (IFAE)
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Universidad Nebrija
- Universidad Pontificia Comillas
- Universitat de Girona
- Univesity of Granada
- universitat de barcelona
- 10 more »
- « less
-
Field
-
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
-
codes is essential. Experience with modelling conjugated organic molecular-based systems (e.g. electronic structure, charge transport) would be particularly highly valued. Experience in coding with Python
-
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
-
statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
-
coordinating scientific tasks or contributing to collaborative research projects. Experience with data processing and statistical analyses in R or Python is an asset. Experience with emerging contaminants
-
to the publication of the call for applications: https://seu.ub.edu/ofertaPublicaCategoriaPublic/listPublicacionsAmbCategoria?categoria.id=855899 Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria
-
the following software: Stata, R, Python, Matlab. Excellent command of written and spoken English, with the ability to draft academic papers, research reports and/or policy briefs in English. Evidence
-
computing, control theory, computer vision, or numerical simulations. Experience with Python-based scientific programming Excellent problem-solving skills, Ability to work collaboratively in a
-
complementary energy ranges. Tasks and Responsibilities The successful candidate will: Participate in the commissioning of the array of Large-Sized Telescopes (LSTs) of the CTAO-N observatory (https
-
, experimental data bases and materials data bases together with novel AI tools. Where to apply Website https://auspire.eu/research-team/icn2-pf1-call-2/ Requirements Research FieldChemistryEducation LevelPhD