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funding phase at the Martin Luther University Halle-Wittenberg will start with a highly interdisciplinary and ambitious research program in November 2025. We invite applications for 8 PhD positions for 3
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Laboratoire de
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Programme Directors and Programme Managers, the postholder will be responsible for managing all aspects of several large UKRI grants totalling around £60 million, plus the industrial and partner funding
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will join the
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Application Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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Application Deadline 30 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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the increasing demand for more complex components, a step change in model accuracy and associated material characterization methods is required. For this purpose, we are looking for two PhD candidates to tackle
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Approximation. Parameterized Complexity is a vastly growing area within theoretical computer science that allows for the development of exact and approximation algorithms for computationally hard problems by
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 5 days ago
, 3], significant challenges related to running complex AI algorithms such as Deep Neural Network (DNN) inference on lightweight platforms with limited computational power and relying on potentially