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/InstituteSchool of Electrical Engineering ans Computer ScienceCountrySwedenState/ProvinceStockholmCityStockholmPostal Code10044StreetBrinellvägen 8Geofield Contact City Stockholm Website https://www.kth.se/en
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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/182789 Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications GENERAL a) Hold a PhD degree (Doctorate). b) Not have been dismissed from
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, sesgos e impacto medioambiental de la adaptación de modelos de visión por computador/Analysis of the explainability, bias and environmental impact caused by the adaptation of computer vision models. Where
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Apply now Job no:535374 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science Department: CAS CIS Computer & Information Science Rank
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signals of the sensory-motor system (force, kinematics, EMG, EEG etc ...) • Experience with computer communication and signal processing tools (word processing, spreadsheet, power point presentations and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 25 days ago
: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer interfacing with VR training in a lab and in a clinical environment
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fabrication Prototyping Electrical and electronic engineering Numerical simulation Optics Computer-aided design (CAD) Optical and electrical characterization techniques Semiconductor materials # Soft Skills
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Computer and Information Science (https://cse.aua.am/ ) invite applications for a full-time faculty position in Machine Learning at the rank of Assistant Professor, starting in July 2026. Faculty members