67 machine-learning "https:" "https:" "https:" "https:" "https:" PhD scholarships in Spain
Sort by
Refine Your Search
-
Listed
-
Employer
- Universidade de Vigo
- Universitat de Barcelona
- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
- ICN2
- Fundación IMDEA Nanociencia
- Institut Català de Nanociència i Nanotecnologia
- Iquadrat Informatica SL
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- +Pec Proteomics Research Group
- AMADE research institute - University of Girona
- AMBER laboratory
- BCBL - Basque Center on Cognition, Brain and Language
- CSIC
- Cancer Research Foundation of the University of Salamanca
- Centro Nacional de Investigaciones Cardiovasculares Carlos III F.S.P.
- Centro de Biología Molecular Severo Ochoa
- European Magnetism Association EMA
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- FUNDACION INSTITUTO INVESTIGACION SANITARIA FUNDACION JIMENEZ DIAZ
- Fundació Privada I2CAT
- Fundació Sant Joan de Déu
- Fundació per a la Universitat Oberta de Catalunya
- IRTA
- IdiPAZ
- Indra Deimos
- Institute of Materials Science of Barcelona (ICMAB-CSIC)
- Montenegro Research Group – CIQUS
- UNIVERSIDAD DE ZARAGOZA
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidad de Salamanca
- Universitat Autonoma de Barcelona
- Universitat Politècnica de València
- University of A Coruña
- University of Castilla- La Mancha
- University of Santiago de Compostela
- 25 more »
- « less
-
Field
-
3) Documents of interest to candidates. They can be consulted on the official IdiPAZ website: https://www.idipaz.es/RRHH#DocumentacionRRHH - Collective Bargaining Agreement of the Group of Companies
-
Compostela Website https://www.usc.es/ciqus Street Rúa de Jenaro de la Fuente, s/n Postal Code 15782 E-Mail p.lago@usc.es STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
-
website . Where to apply Website https://webs.uab.cat/phynest/ Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number
-
to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and electronic
-
: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
-
characterize new reticular materials (COFs), and use them as precursor for the generation of new polymers via Clip-off chemistry. The candidate will acquire a great experience in supramolecular, reticular and
-
skills Excellent organizational and time-management skills, including the ability to deliver timely and high-quality outputs Enthusiasm to learn new skills outside own discipline Summary of conditions