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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to francesco.deluca@taltech.ee CV Motivation letter
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
of the Cluster IA ENACT project (https://cluster-ia-enact.ai/ ) that is funding this PhD thesis. In the chair, she wants to push the research in Natural Language to assist humans in different scenarios
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-edge academic insight with real-world robotics applications. The PhD project will focus on the design of advanced control and decision-making algorithms to enhance the intelligence, autonomy, and
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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 We are seeking a Research Fellow to develop
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language of this project is English, and the candidate should be proficient in written and spoken English (also at teaching level). Requirements are listed here: https://set.kuleuven.be/phd/applicants
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each join or limb. Moreover, since a reflex often involves coordination between multiple joints, a distributed compute solution is required. In this PhD, you will design distributed control algorithms
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24 Feb 2026 Job Information Organisation/Company IMT - Institut Mines-Télécom Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Mar
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real-world challenges faced by industry, governments, and society within the international STRUCTURE project? Information The PhD candidate will work within the international research project STRUCTURE
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23 Mar 2026 Job Information Organisation/Company Universidade da Madeira Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 8 Apr 2026
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities