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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, chemical processing, and laboratory support in materials research. Preferred Qualifications: PhD degree in mineral processing, hydrometallurgical engineering, chemical engineering, material engineering, or
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data engineering, applied analytics, and responsible AI. Position Details Hours: Part-time, 5–20 hours per week (flexible scheduling) Pay: $12/hour Appointment type: Hourly Job Duties Typical
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researcher? Do you want to be trained in cutting-edge experimental and computational techniques to understand how clot contraction influences thrombus stability and embolism risk? Are you excited to be part of
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
such as on-chip optical routing, flexible optoelectronics, light emission, optical sensing and quantum communications. This is an ambitious research program, with a strong interdisciplinary nature, across
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the requirements for admission to the faculty's Doctoral Programme Excellent oral and written presentation skills in English (equivalent to level B2) Excellent reading skills in the languages of both
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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of in-person interviews may be scheduled if necessary. Screening is part of the procedure. About the organisation The Faculty of Engineering Technology (ET) engages in education and research
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Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data