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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 11 hours ago
that are versatile and fluent in mathematics and the core sciences with a particular world view based on the synergy of these core sciences and on their derived applications to the macro world
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spectrum of pure mathematics, and the section has close ties with SDU’s Center for Quantum Mathematics. Formal requirement The candidate is required to be fluent in English and to hold a PhD degree in
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experimental gas flow systems and gas analysis methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing
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boundary layer methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C
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data processing, and psychological health empirical research methods. Familiar with academic paper writing and international biomedical research standards. Language & Comprehensive Ability Fluent in
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spoken English Technical skills Fully fluent in techniques of molecular cell biology and super resolution microscopy Competences Experimental approaches of cell biology Excellent organizational and
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contribute creatively to research projects, and the ability to maintain an organized and safe work environment. The ability and passion to co-supervise PhD students. The candidate should be fluent in
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Circuits, especially used for optical modulation (optional) Fluent in written and spoken English (must) You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic
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sequences and process integration (preferred) A general understanding of Photonic Waveguides, Photon Integrated Circuits, especially used for optical modulation (optional) Fluent in written and spoken
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translate the biochemistry of a single cell to industrial fermentation Fluent in English, B2 in either French or German Workplace Workplace We offer A dynamic and supportive research environment at