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Olsztyn (UWM) invites applications from outstanding researchers to establish an independent research group in Plant Genomics. We seek ambitious scientists with a strong research vision who are eager
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Design training programme, support CDT PhD research and embed Inclusion and Responsible AI principles throughout the CDT. The post holder is expected to publish high-quality original research, develop a
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Design training programme, support CDT PhD research and embed Inclusion and Responsible AI principles throughout the CDT. The post holder is expected to publish high-quality original research, develop a
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research funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in
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Regulation forResearch Fellowships, available at https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento_bolsas.pdf Workplace: Computer and Robot Vision Laboratory (VISLAB Website
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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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, 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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, development and delivery of the CDT Inclusive Design training programme, support CDT PhD research and embed Inclusion and Responsible AI principles throughout the CDT. The post holder is expected to publish
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: The Research Fellow will
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 8 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis