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Field
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to optimize scientific quality/innovation of clinical study design, execution, reporting and publication. · Contribute to trial-related advisory boards. · Participate in investigators meetings and
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the increasing use of recycled asphalt binders in new pavements. Under the guidance of a mentor, the participant will participate in the development and optimization of chemical processes to improve
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and optimization of algorithms for these problems, as well as proofs on theoretical complexity bounds. Common tasks include: Developing ideas for improving existent or creating novel algorithms Coding
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Article 3 of FCT Fellowship Regulation. Work Plan and Objectives - Maintain human skeletal muscle cell line cultures; - Develop and optimize molecular and cellular biology protocols (e.g., cloning, Western
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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with
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research project, where you will be part of the research team to develop solutions for adapting CCS2 chargers for marine electrical vessels and optimizing DC fast charging technology for marine applications
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to optimize treatment for female genital schistosomiasis. The post holder will join the LSHTM Schistosomiasis Research Group. The duties of the post will involve coordinating and writing ethical approval
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Optimization" of the Associated Laboratory LABBELS and aims to consolidate the training of the research fellow. The tasks to be carried out include: (i) operation of bioreactors; (ii) studying the biodegradation
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electrolyte and polyanion or oxide-based cathode materials. Project aims to optimize synthesis conditions for scale-up production of solid electrolytes (ceramic and polymer electrolytes) and positive/negative
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 28 days ago
research challenges in: dynamical systems differential games optimal control numerical optimisation and/or machine learning in control About the opportunity The successful applicant will become part of a