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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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: www.uni.lu/snt-en/research-groups/finatrax/ Your role The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, drug loading, and release performance. Key Responsibilities * Design and fabricate microneedle array patches using CLIP 3D printing * Develop and optimize loading strategies and polymer formulations
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supporting the development of advanced tools and models for the design and operation of active low-carbon communities and PEDs-rich LV distribution networks. The position forms a key part of the flagship D
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Duties & Responsibilities Independent design, execution, and optimization of complex biochemical protocols, including protein purification, mammalian and bacterial cell culture, SDS-PAGE, Western blotting
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: • Developing and optimizing DGT passive samplers for simultaneous monitoring of PFAS, antibiotics, and biocides • Designing and conducting laboratory experiments (performance tests, kinetics, microcosms
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: Designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and orthosteric) and ion channels (α4β2 nAChR, α7nAChR, α9* nAChR, GIRK1/2, GIRK1/4, etc.) Conducting
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innovative materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard
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materials, the design and optimization of catalytic reactors, the study of reaction kinetics, and the detailed microstructural and physicochemical characterization of catalysts. The primary objective is to
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, modulation classification, sensing, and adaptive spectrum optimization in diverse operational environments. Your work will focus on modeling and algorithmic aspects related to the development of highly