Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
related to staff position within a Research Infrastructure? No Offer Description Position: Assistant, Associate, Full (teaching tenure track) Professor in the field of Data Science & Programming Starting
-
multimodal pipeline (API function calling). 5) Testing • Cross-evaluation with pilot farmers and agricultural engineers from partner AGRIS. • Optimisation of models, inference time (< 500 ms) and memory
-
:………..………………………………………………………………………………………………………………………………………… Management, with particular focus on the intersection of: Machine Learning Causal Inference Applied Field Experimentation Scientific Areas: Management, Economics, Information Systems, Computer Science, Data
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 15 days ago
thorough analysis of how the inferred fractional dynamics relate to transitions between consciousness and unconsciousness. Duration: The research fellowship will have a duration of 9 months. It’s expected
-
Lisbon Campus Summary Role: Assistant / Associate Professor, depending on experience Contract: 2-year tenure track, leading to permanent appointment upon successful review Field: International
-
excellent academic and professional track record, be committed to work in a team and be highly motivated and oriented towards Science and Technology Management, particularly in the context of a European
-
of LIS ́s researchers, in the framework of Project Koachy | Smart Platform for Athlete Tracking and Gym Management (CENTRO2030-FEDER-01183000), co-financed by Portugal 2030 (Centro 2030). The grant is
-
vehicles, considering various variables (e.g., tyre wear, fuel consumption, track conditions). - Implementing algorithms that, based on simulations and available data, can identify and suggest the best
-
of LIS ́s researchers, in the framework of Project Koachy | Smart Platform for Athlete Tracking and Gym Management (CENTRO2030-FEDER-01183000), co-financed by Portugal 2030 (Centro 2030). The grant is
-
areas. The candidates should also have an excellent academic and professional track record, be committed to work in a team and be highly motivated and oriented towards Science and Technology Management