Sort by
Refine Your Search
-
-GRASP”, “Simulation-Based Bayesian Inference for Object Perception in Robot Grasping”, financed by the European Union´s Horizon Europe research & innovation programme under the euROBIN project (Grant
-
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
-
grade (C1), experience and coherence of the Curriculum Vitae in the area of the application (C2). The final score for the academic and scientific track record (ACPS) will be calculated using
-
of the Curriculum Vitae in the area of the application (C2). The final score for the academic and scientific track record (ACPS) will be calculated using the following formula: ACPS = 0.4×C1+0.6×C2
-
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