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biosynthetic pathways for microbially-derived molecules and understanding how microbial molecule production can be modulated for disease prevention and therapeutic benefit. Using a combination of computational
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40% of all employees are internationals. In total, it
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hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
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and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication of the attached publications that you wish to be taken
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qualifications at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions
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qualifications: As a formal qualification, you must have a master’s degree or PhD degree (or equivalent) in engineering or equivalent within the area of bioinformatics, computational biology, or a related field
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and tools. Experience in teaching advanced and fundamental science classes for university students. Experience in collaborations and bringing new ideas. As a formal qualification, you must hold a PhD
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems
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PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT