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molecules to deliver protein transport substrates with unprecedented efficiency. Within this team, the postdoctoral researcher will support a PhD student responsible for synthesis and photochemical evaluation
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support to the development of new light-activated molecules to deliver protein transport substrates with unprecedented efficiency. Within this team, the postdoctoral researcher will support a PhD student
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Haghighat focuses on the development of embedded machine learning solutions that can be deployed on low-power low-memory embedded devices. have a PhD degree in Mathematics, Computer Science, Electrical
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images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low-power edge devices. The goal of the project is to enable precision farming
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state of the crop and deploying those models on a variety of low-power edge devices. The goal of the project is to enable precision farming practices, with a focus on sustainable and robust methods. We
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packages is a big plus. The ability to work in a group and a very good knowledge of English are a must. Qualifications The candidate should have: a PhD degree in any area related to the mentioned fields
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. Qualifications The candidate should have: a PhD degree in any area related to the mentioned fields. Preferably, Mechanical Engineering, Material Science, Electronic Engineering publications in high-quality
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to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical engineering, or a related field. A deep understanding of device physics, numerical modeling, and computer
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minimum IELTS score of 7.0 overall and 6.5 on parts • technical skills: A PhD degree in physics, material science or engineering (or equivalent) is required. A demonstrable background in computer