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principal investigators, as well as a population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as
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principal investigators, as well as a population of about 3,600 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as
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this vacancy? Please apply no later than 14 April 2026 via the application button and upload the following documents: A detailed CV. Cover letter An abstract of the Master thesis (1 page). Copies of MSc
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expected to be able to act independently as well as to collaborate effectively with members of a larger team and supervise Master students. Good English skills are required. The work takes place in Delft
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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your main responsibility, it offers valuable experience that supports your development and prepares you for future academic or professional roles. Teaching activities will not exceed 20% of your total
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group, you will work towards addressing the main challenges in the field by working on experiments involving integrated photonics, single photon detectors, and color center qubits. You will focus
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validate your ideas on real chips alongside an international team; thus, it is also critical for you to be a team player, communicating smoothly with your colleagues. Your main activities will include
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algorithms. Biological knowledge is a plus, but not necessary. Mathematical Maturity: Ability to write mathematical proofs and formal texts as evidenced by a master's thesis report or similar documents
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to uncover shared mechanisms in cancer and neurological disorders The primary emphasis is on method development, guided by real-world biological and clinical questions arising from the ADORE consortium