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the kinetics of enzymatic polymerization processes in biological environments. Expand and tailor enzyme repertoires to optimize functionality and electrode performance. Collaborate within a multidisciplinary and
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engineering efficient bioprocesses for high quality natural products. The group offers expertise in reactor engineering, down-stream processing and metabolic engineering to teach and develop innovative bio
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at CMU is a world-renowned research and education hub at the forefront of natural language
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researchers, 4 PhD students, 2 technicians and 8 Adjunct Professors (20% position). The research within the department is focused into two groups: sea-ice-snow-air processes and space physics. About the
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of PhD), or Research Associate (more than 3 years of PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language
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a circular process based on users and stakeholders engagement, co-design and assessment of innovative climate services. The proposed methodology will employ high resolution regional Earth Systems
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at CMU is a world-renowned research and education hub at the forefront of natural language
-
superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new