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research areas (pure and applied mathematics, theoretical physics, computer science, life sciences, etc.). Description - Carry out world-class research. - Develop and supervise innovative projects with
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. The position is a permanent employment with Ericsson. As an industrial PhD (iPhD) you will be employed by Ericsson while also enrolled in the doctoral programme in Electrical Engineering at Chalmers
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PhD in Mathematics or a related field by the anticipated starting date and received no earlier than September 15, 2023. Priority will be given to candidates who complete their application by December 01
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 4 days ago
Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PhD student OPUS29MW 12/2025 Is the Job related to staff position within
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» PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria ### Knowledge - PhD in computational neuroscience, physics, mathematics, computer science, or related field - Mastery
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be informed whether a SUIPRES Scholarship will be offered within your offer letter. PhD: Applicants for PhD must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely
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for up to 24 months. Successful applicants should be in post by September 2026. About you Applicants will need a PhD degree in Mathematics or similar subject, and knowledge of probability theory, as
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-phd-positions/ . Requirements Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical