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Field
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Biology, Biochemistry, Life Science, (Bio-)Physics, Chemistry, Computer Science, or related fields. Visit the IMPRS-LM website for more information about the program, the application process , and the
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Kingston University has developed and pioneered the use of innovative technologies in recent years that we hope will have a significant impact on the space and launch propulsion sectors building expertise and international recognition in this area. This includes the development of Electrical...
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We invite applications for a fully funded 3-year PhD position focused on developing next-generation robotic grippers for biological laboratories. The project combines advances in multi-material 3D printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of...
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, at the DTU department of Applied Mathematics and Computer Science, section for Dynamical Systems. Furthermore, this is an Alliance PhD position, where you will have the privilege to benefit from two
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This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. The start date is...
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International Max Planck Research School on Elementary Particle Physics | Garching an der Alz, Bayern | Germany | 11 days ago
1 Sep 2025 Job Information Organisation/Company International Max Planck Research School on Elementary Particle Physics Department Coordination office Research Field Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 6 Oct...
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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Estonia Application Deadline 24 Oct 2025 - 23:59 (Europe/Tallinn) Type of Contract Temporary
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National