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Field
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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Brain tumors, particularly glioblastoma, are among the most
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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning
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distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally (Federated Learning). Analyze Mobile & Wearable Data: You will work with
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University Medical Center Utrecht (UMC Utrecht); Published yesterday | Netherlands | about 1 month ago
Cardiovascular disease remains the leading cause of death globally. In parallel with an ageing population and increased prevalence of CVD, there is also a major drive towards urbanisation. Around 75
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of the 3D Biology research programme at the Radboud university medical center. You will also collaborate closely with scientists at HUB Organoids who are running parallel programmes and with researchers
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-resilient-6g-wireles… Requirements Specific Requirements Motivated researcher, with a PhD in in Electrical Engineering, Computer Science, Telecommunications, Applied Physics or a related topic, with excellent
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) Country Netherlands Application Deadline 3 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join the Tera-Hertz Sensing Group to develop next-generation THz
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commercial electronic design libraries, combining high-frequency circuit techniques with the constraints of silicon processes. In parallel, you will develop on-chip antenna structures, performing full-wave EM