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Field
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to innovate and optimize semiconductor materials and device design. UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with
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. 2018;361(6397); Nature. 2017;550(7674):137-141; Cell. 2017;170(1):48-60; Nature. 2016;530(7591):499-503. 1) Structural biology or single molecule biophysics: Projects will push the ceiling of mechanistic
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
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, with access to various technologies and industry contacts, for which the CellNetworks Core Technology Platform serves as an umbrella structure. Heidelberg University invites applications
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on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and piezoelectric responses in AM components
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the emphasis of the position will be on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and
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digestion), and should have documented capabilities using a variety of simulation and optimization techniques. Familiarity with electric power grids and rate structures is highly valued, as is experience with
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analysis and machine learning methods applied to protein structure determination using single-particle cryo-electron tomography (ET). The candidate will contribute to the design, development, and
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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, employing both qualitative and quantitative methods to optimize the tool and explore the effectiveness of various implementation strategies (e.g., peer reflection groups, individual coaching). What you will