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scientists. You meet the following criteria: • a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related
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Join TU Delft to uncover the biology of cellular robustness in an industrial yeast process and translate your discoveries into innovative genome engineering strategies. Job description You will join
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department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over
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space research Behavioural competencies Education You should have recently completed (within five years), or be close to completion of a PhD in radiation, space physics and/or information technology
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quantum systems. Requirements You have a PhD degree in physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum
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into practical design principles for low-debris surfaces and operating windows in advanced EUV source environments. Qualifications You have (or will soon obtain) a PhD in (Applied) Physics, Mechanical Engineering
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excellent opportunities to publish in high-impact journals, collaborate with leading European partners, supervise MSc and PhD students, and contribute to the development of innovative battery and charging
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(FIRM) is a five‑year research programme (2026–2030), funded by TKI Deltatechnologie, Nationale‑Nederlanden and contributions from more than 10 partners from academia, the financial sector, engineering
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work with 4 PhD candidates across the universities involved, who will be hired for this project. Job requirements PhD in building engineering, meteorology, civil engineering, or related fields