149 PhD Positions in nanotechnology positions at Eindhoven University of Technology in Netherlands
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The High Capacity Optical Transmission Laboratory at TU/e is seeking a highly motivated and talented individual to join our team as a PhD student. The successful candidate will work on a project
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The High Capacity Optical Transmission Laboratory at TU/e is seeking a highly motivated and talented individual to join our team as a PhD student. The successful candidate will work on a project
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-Mobile, Vialis; PL4: TUDelft (lead), BTG, Ericsson, ECP, EZK, Hanze Hogeschool, KOREWireless, KPN, Liberty Global, Nokia, OostNL, RDI, SURF, TU/e, T-Mobile , UT, Vodafone, Ziggo. PhD position on “Precise
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foundations of AI, including robust AI by using imprecise-probabilistic (IP) models. To get an idea of what this means, you may think of replacing one probability model with a set of probability models. In
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healthy portfolio of PhD positions and close collaborations with industrial partners. It consists of four full FTEs at Eindhoven University of Technology and one part-time professor. The group has three
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This position is one of the two PhD positions offered within the Department of Industrial Engineering and Innovation Sciences (IE&ES) and the Department of the Built Environment (BE) of Eindhoven
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Irène Curie Fellowship No Department(s) Industrial Design Reference number V51.7442 Job description We invite applications for a fully-funded 4-year doctoral position on exploring moral emotions
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industries. We are currently seeking candidates for two PhD positions, each focusing on a cutting-edge research topic within the field of audio (and speech) understanding for health monitoring: 1. Federated
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? • Are you fascinated by the latest developments in intelligent autonomous vehicles? • Are you excited to work on adaptive automotive E/E architectures? Then apply for the PhD position on Distributed
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team that combines engineering and the humanities? Then apply for the PhD position on Explainable AI in Machine Vision for autonomous driving! Autonomous driving is a key application of artificial