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Field
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. WORK PLAN: Development and optimization of biocompatible and biodegradable membranes by electrospinning and their characterization (physical-chemical, mechanical, and biological). Data analysis and
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variety of conditions that are not optimal growth conditions. The survival data of pathogens under these conditions (growth matrices + sub-optimal growth temperatures + antimicrobial stresses) will also be
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/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in the area of plant science, ideally with a focus or use of
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will develop a novel modelling framework that translates climate signals to support cost-optimal long-term investment decisions, while also considering operational feasibility. The successful candidate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
. * Collaborates with The Graduate School teams for student success and professional development to ensure optimal student experiences for fellowship recipients. * Oversees fellowship nomination and selection
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type (whichever occurs first), scheduled to start in 2025-10-01. .WORK PLAN: a) Study the parameters and the process conditions for footwear printing; b) Optimization of Additive Manufacturing equipment
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fermentation, bioreactor optimization, and downstream processing. Have a Ph.D. degree in Food Science and Technology or Chemical Engineering, or other relevant disciplines. Share this job Facebook Twitter
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preparation protocol optimized for low-quality DNA extracted from fuel samples. The initial appointment is for three months, with potential for extension based on funding availability. Key Responsibilities
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preparation protocol optimized for low-quality DNA extracted from fuel samples. The initial appointment is for three months, with potential for extension based on funding availability. Key Responsibilities
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, incorporating electronic, thermo-fluid models, and efficiency models (ii) BMS-BTMS operation policy design, which will be based on optimal control techniques and will focus on both electric power