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information systems engineering. The group conducts research on the application and the impact of digital technologies on organisations in the private and public sectors. Our team consists of international
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for the technology, including brainstorming and literature review. Coordinate with biopharma partners to streamline development and promote industry adoption. Participate in grant writing to secure project funding
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the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations
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mathematics, physics, geophysics, optical engineering, electronic science and technology, chemistry, materials science, biology, bioengineering, pharmacy, basic medicine, environmental science and engineering
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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degree in Electrical Engineering, Telecommunications Engineering, Computer Science, Applied Physics, or a closely related field Strong background in communication systems, signal processing, and applied
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Description: Our research group is working on metamaterials and related electromagnetic issues at Nagoya Institute of Technology (NIT), which is known as one of the top research universities in
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, and frequency noise measurements. Applicants should have a PhD in physics, electrical engineering, or related fields. US Citizenship is preferred. Interested candidates are encouraged to send a CV to
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scientific field (e.g. computer science, data science, mathematics, statistics, engineering, physics, or related). Provable deep learning track record and practical expertise (e.g. with VAEs, GANs, diffusion