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24.09.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, invites applications for a fully funded PhD position at the Technical University of Munich
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Warwick: Prof. Zushu Li, Dr Zhiming Yan, Tata Steel UK: Dr Ciaran Martin, Dr Bin Xiao Start date: October 2025 (or earlier) Project Overview: An enthusiastic researcher is invited to join a team to work on
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in the team “Processus dynamiques et multi-échelles de l'organisation spontanée dans la morphogenèse tissulaire” led by Dr. Wenjin Xiao and Prof. Mathieu Hautefeuille, at Laboratory Dev2A (UMR 8263
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1 Research Fellowship (Master) - 101112877 - UPSTREAM - HORIZON-MISS-2022-OCEAN-01-04 - #NOVAID-B396
points in the combined evaluation of criteria a. and b., the three best-ranked candidates will go through a selection interview phase, and the selection methods will change to the following: a
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impact by benchmarking your silicon prototype against traditional DSP methods. You will measure system-level improvements on actual analog test chips in NXP's labs. You will be supervised by Dr. Chang Gao
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Matthew Jones, Prof R Lewis, Prof D Fletcher, Prof David Curtis Application Deadline: 07 November 2025 Details Are you enthusiastic about digital technology and motivated to build tangible change
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
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, and validated outputs to strengthen the competitiveness of the Dutch high-tech sector. The PhD Candidate Position You will be supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein at the Leiden
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(please note that the netto amount can vary depending on the family situation, etc.) PhD supervision by Prof. Kateřina Králová and mentoring by Dr. Karin Roginer Hofmeister Integration into an international
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of models, code, and validated outputs to strengthen the competitiveness of the Dutch high-tech sector. The PhD Candidate Position You will be supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein