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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
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inference. The results are expected to inform the development of conservation strategies for captive breeding programmes of this antelope species, while being applicable to other wild species with large
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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
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:………..………………………………………………………………………………………………………………………………………… Management, with particular focus on the intersection of: Machine Learning Causal Inference Applied Field Experimentation Scientific Areas: Management, Economics, Information Systems, Computer Science, Data
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 17 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
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Lisbon Campus Summary Role: Assistant / Associate Professor, depending on experience Contract: 2-year tenure track, leading to permanent appointment upon successful review Field: International
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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
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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
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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
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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