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and approximately 20 doctoral candidates. Research in computer vision began in the mid-1980s and currently encompasses (i) Geometry and computer vision (including analysis of video, audio, radio, and
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/marketing/ Prof. Brendl: https://wwz.unibas.ch/de/personen/c-miguel-brendl/ University of Basel video: https://www.youtube.com/watch?v=6TQtLQDbg8U City of Basel video: https://www.youtube.com/watch?v
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assignments Your main tasks will be to analyse and compile data and video material from a random sample of Swedish dog owners. The long‑term goal is to create a more complete picture of the Swedish dog
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and effectiveness of the recruitment process. About INL The International Iberian Nanotechnology Laboratory – INL (http://www.inl.int ), is the first and only Intergovernmental Organisation in the world
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implementation, ensuring uptake in policy, healthcare practice and decision-making. The position is offered for 24 months, with a preferred start date of 1 May 2026. Where to apply Website https
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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future . Read more about working at Aalto: https://www.aalto.fi/en/careers
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
proficiency in Python is required, and hands-on experience with ML libraries such as PyTorch is expected. Theoretical understanding and experience with multi-physics modelling of electrochemical processes can
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requested from the Ministry of Science, Innovation and Universities of Spain (see https://www.universidades.gob.es/equivalencia-de-titulo-extranjero-de-e… ). Selection process In accordance with article 8
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision