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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 days ago
community engagement, advanced methods, digital health, or local to global health. 2) Gain mentored research expertise with the guidance from multidisciplinary mentors, on bio/behavioral and/or social
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enable new discoveries in life sciences and bio-technology relying on structural biology methods. The ideal candidate would have a background and an interest in Biophysics, Biochemistry, Artificial
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expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is
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the faculty, come naturally. The faculty is home to more than 2,700 staff members and over 6,000 students enrolled in nine bachelor's and fifteen master's programs. We are located at the heart of the Bio
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer
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experience available. Scientific experience Microbial biotechnology (this can include, but is not limited to, fermentation technology) (Bio)chemical analytical techniques (e.g., HPLC, optical density
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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-Cell Microscopy and Laboratory Automation As a leading research institution for microbial biotechnology, the Institute of Bio- and Geosciences – Biotechnology (IBG-1) focuses on molecular and applied
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 22 days ago
emissions from wildfires can lead to the atmospheric transport of macronutrients and bio-essential trace metals such as nitrogen and iron, which are later deposited over the ocean, potentially fertilizing
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, photonic (bio)sensors and photonic integrated circuits for biomedical applications in the near-infrared and mid-infrared wavelength range. More in particular, the silicon(-nitride) nanophotonics work focuses