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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 Prof Wang Lin at the School of Electrical and
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Job description We are seeking two highly motivated postdoctoral researchers to join our research team based in the Van de Peer lab, under the supervision of Prof. Dr. Zhen Li, Assistant Professor
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change how we explore space by developing innovative theories, algorithms, and technologies. Position is contingent upon availability of funds and proper Visa paperwork, to be able to work in US. Position
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diagnostics and antimicrobial resistance (AMR) profiling. Work at the interface of engineering, data science, microbiology and clinical research. Become part of a larger consortium together with Prof. Emma
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) at Central China Normal University (CCNU) invites applications for a postdoctoral research position in lattice gauge theory, with an emphasis on computational and algorithmic advancements. This role will
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assessment”. They will be required to: (a) conduct advanced research on multi-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c
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techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d) publish
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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
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Institut national de la recherche scientifique (INRS) | Varennes, Quebec | Canada | about 20 hours ago
Deadline: none (posted 2024/11/01) Position Description: Position Description Led by Prof. Fabio Boschini, the time-resolved ARPES (TR-ARPES) laboratory at the Advanced Laser Light Source (ALLS) user
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motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance