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Field
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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-molecule transport and measure the NPC nanoscale structure using TEM, AFM, FRET, DIB, MINFLUX, etc. We study purified yeast NPCs as well as design the amino-acid sequence of the IDPs and TRs de novo from
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policies and projects. We are looking for candidates who meet the following requirements: - a PhD degree in Energy Law; - a relevant publication record demonstrating your ability to publish international
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or several applications related to requirement engineering, system and subsystems design, modelling, implementation, analyses, verification, testing, validation and qualification. Typical areas where the use
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, nationalities, beliefs, preferences and worldviews. We believe that trust, respect, interest and differences lead to new insights and innovation, to sharpness and clarity, to excellence and a broader
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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted
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society. Tilburg Law School is a frontrunner in educational innovation and values inclusive, accessible, and flexible education. We train our students to become knowledgeable, skilled, and critical
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using TEM, AFM, FRET, DIB, MINFLUX, etc. We study purified yeast NPCs as well as design the amino-acid sequence of the IDPs and TRs de novo from the bottom up and study these in biomimetic solid-state
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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It