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implementation, and providing practical, day-to-day assistance to teaching staff. If you have teaching experience, expertise in digital education, and enjoy working directly with faculty to improve teaching
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, the project aims to reconstruct AMR transmission pathways and identify microbial and environmental drivers of resistance hotspots at the patient-environment interface. Your position • Design and conduct
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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developer with a strong background in scientific computing who is eager to lead a development team, drive innovation, and explore commercial opportunities arising from our research. The position is linked
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tools. We predict chemical reactivity and molecular properties using machine learning, artificial intelligence, computational chemistry, and cheminformatics. Our ultimate goal is the computer-aided design
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create a meaningful impact. Our goal is to design, implement, and evaluate a cannabis-impaired driving detection and prevention system. Building upon previous studies that have been well-recognized
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informatics in rehabilitation, particularly in the development and implementation of digital solutions to support patient care, is advantageous, as is the ability to directly link scientific findings with
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino
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-modal signal monitoring (including respiration). Your research could potentially be applied in sports and health. Project background Your research will aim to conceive and design innovative solutions
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and biotechnology projects. Your resposibilities: First line support for image analysis requests (from optical microscopy). Providing expert input to microscopy imaging projects to help design