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Field
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provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related
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, Computer Science, Electrical Engineering, Physics, (Applied) Mathematics, or a closely related field; a strong foundation in machine learning / deep learning and solid programming skills (e.g. Python, PyTorch
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, inverse design, photonics, imaging systems, optionally also semiconductor devices, optoelectronics. Experience with optical characterization, nanofabrication, computational imaging, or detector technology
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variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work
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for the de-fossilization of the chemical industry. They would also be part of the Process Systems Engineering (PSE) section at TUDelft, that comprises a professional team dedicated to advanced computational
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will be explored. Besides that, understanding mechanistic aspects are of key importance, including spectroscopic studies (EPR, NMR, IR/Raman, etc.), kinetic studies and computational investigations
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Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a
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Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a
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team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable
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to the Spinoza Centre for Neuroimaging, including 3T and 7T MRI facilities, and from a broad local network of researchers working on visual cognition, attention, neuroimaging, and computational neuroscience. You