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29 Mar 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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Challenge: Analyse properties of biological systems Change: Develop novel control theory and machine learning methods to study natural systems and their robustness Impact: Produce new intelligent
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related field. Proficiency with machine learning methods and corresponding software packages is a plus. Experience with ultrasonic welding is a plus. Fluency in English and proven academic writing skills
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25 Apr 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Technology Researcher Profile Recognised Researcher (R2) Country Netherlands Application
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5 Apr 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Technology Researcher Profile Recognised Researcher (R2) Country Netherlands Application
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using existing data that the group has. The researcher is expected to lead the project and deliver publications (journal & conferences) that disseminate the work. At TU Delft, you will be supervised by Dr
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group at the Department of Microelectronics of TU Delft. Being one of a few European radar groups in academia, this group has extensive research facilities and excellent track record on the full pipeline
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Systems (MS3) research group at the Department of Microelectronics of TU Delft. Being one of a few European radar groups in academia, this group has extensive research facilities and excellent track record
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developers of JetBrains. More information is available here: https://lp.jetbrains.com/research/ai-for-se/. We are looking for a candidate who has: A Master’s degree in computer science, machine learning
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that encompass creativity and design, healthcare, manufacturing, energy and others to showcase (societal) impact. The successful candidate will be based at TU Delft and will have the chance to work with partners