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interdisciplinary lab group investigating tendon injury and healing. Current projects within the lab span from human subjects research to the study of ex vivo tissues and preclinical models. This position is
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop
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Application Materials Please provide a cover letter and current CV with list of publications and professional activities, as well as statement of research interests and accomplishments. Questions may be sent
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scientists and companies working in liposome technology, cell-free protein production, sensor development, clinical nephrology, and medical decision-making. Where to apply Website https
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applying must have a PhD degree in biomedicine, molecular medicine, molecular biology, gene technology, immunology, stem cell biology or a related discipline. Expertise in experimental haematology
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medical device environments is highly valued. PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field Strong record of peer-reviewed publications
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Qualifications Minimum Education and Experience This position requires PhD in transportation engineering, industrial engineering, energy engineering, or related engineering fields. The candidate should have skills
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related field prior to being hired. Certifications/Licenses Required Knowledge, Skills, and Abilities Required o Professional knowledge in mechanical engineering, electrical engineering, civil engineering
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on projects through expert knowledge of rail and transit engineering · Writes technical reports and contributes to preparation of journal articles and prepares conference presentations · Updates related
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), Claudio Gatti (LNF, Italy), and Matthias Schott (U. Bonn, Germany; leading PI). The successful candidates will join the GravNet-IFAE group, in charge of developing and optimizing all theoretical aspects