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master`s degree in natural sciences, engineering or information technology, preferably with a PhD Experience with the structures of the EUROfusion consortium is advantageous Experience in the field
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geometric and topological ML, neural ODEs/PDEs, reduced-order modeling, structure-preserving ML/AI, and optimization. This cluster hire consists of: Two (2) positions jointly appointed in the School
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, or similar) will be valued; 9) Experience in machine learning techniques applied to materials science or process engineering (regression, classification, optimization, predictive models) will be valued; 10
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chemical libraries for phenotypic target-directed screenings toward selected therapeutic targets; d) Optimize lead compounds obtained from structure-activity relationship (SAR), structure-property-activity
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are: Metabolic engineering of Yarrowia and Candida yeasts for organic acid production Design and optimization of fermentation method in 10L and 100L stirred tank vessels Key Responsibilities: Fulfill the primary
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Access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits and https
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the design, construction, maintenance, operation, and optimization of smart, sustainable, and resilient civil engineered systems and livable communities, CEIE’s total enrollment across all degrees has reached
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or PhD project: Develop and optimize microbial hydrolysis of feather and possibly other keratinous materials at different scale (100 mL, 3L, 42L, 100L). Perform vibrational spectroscopy analyses and
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practices: Full-stack application development Web architecture and performance optimization Secure backend development and deployment Scalable distributed systems using cloud-native technologies Create hands
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will be synthesized in ultra-high vacuum facilities as it is expected to be essential for improving qubit performance through material optimization (multimillion DKK investment by the partnership company