Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
research infrastructure. Selected candidates will benefit from the ICN2 PhD Programme, which comprises a structured training path with scientific seminars, and technical and transferable skills training
-
structured, FAIR-compliant format; contributing to data curation for ML model training. Preparing scientific manuscripts, reports, and presentations; contributing to dissemination and project meetings
-
infrastructure. Selected candidates will benefit from the ICN2 PhD Programme, which comprises a structured training path with scientific seminars, and technical and transferable skills training throughout
-
, project management skills and support to other team members. Excellent oral and written communication skills. Previous experience in delivering oral technical presentations to scientific audiences as
-
Week 37,5 Offer Starting Date 24 Mar 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CONDITIONS OF THE EMPLOYMENT CONTRACT: Legal Regime: Permanent scientific-technical contract. Duration
-
well as industrial partners in the field. Our PhD Fellowship Program welcomes applications from individuals with a degree in a field of science and engineering related to the ICFO research activities. Fellowships
-
12 Mar 2025 Job Information Organisation/Company Universidad Complutense de Madrid Department Departamento Química Inorgánica - Facultad Ciencias Químicas Research Field Environmental science
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description _Determinar bienes patrimoniales y
-
experience working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h