302 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers
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at CSIC and UCM in Madrid, as well as Aarhus University, in a joint effort between the ERC Synergy project METRIQS and the Villum Young Investigator programme DynamiQ. Responsibilities and qualifications In
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clinical service, appointments of trust in trade union organizations, or similar circumstances. Doctoral degree should be within bioinformatics, machine-learning, computational biology, genomics, or a
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and across disciplines within the Pioneer Center Land-CRAFT Contribute to development of teaching and PhD supervision activities in the Dept. of Agroecology or other departments at AU with which we
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criteria for both positions are encouraged to apply for both positions separately. Project description Many adults suffer from hearing and vision (‘dual-sensory’) loss. Because these losses are typically
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program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project
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://as.nyu.edu/biology/directory.fei-li.html This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through
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characterization. At SurfCat, we make extensive use of surface science techniques and collaborate closely VISION, which provides access to advanced microscopy tools. Promising catalysts may also be studied at large
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summaries (visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia
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the time you start (you can apply before they are met e.g. during your PhD). A doctoral degree (PhD or equivalent) in an area relevant to the announcement. Everyone is welcome to apply but due to regulations
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in