685 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" positions at Nature Careers
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the Clinical track, with 80% effort devoted to clinical service and administrative efforts, and the remaining 20% effort will be focused on translational research and career development opportunities. Ideal
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emphasis of novel discoveries and academic development. Responsibilities For this position, the applicant will utilize murine and human genetics, whole transcriptome ribosome profiling, MSR-seq, functional
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Materials Design. This environment will facilitate the development of new skills and the demonstration of creativity and leadership. Expertise in structure solution using powder and/or single crystal X-ray
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collaborate in the research activities of the institute and contribute to the further development of its research agenda under the direction of Univ.-Prof. Maria Emmanouela Plakogiannaki, PhD. Participate in
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multi-modal sensing for robotic manipulation Contribute to and/or lead the development of research proposals Take the lead in drafting, reviewing, and submitting project deliverables Support and
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. Responsibilities and Opportunities for Skill Development Development of optical high-throughput assays for functional screens to dissect GPCR signaling Using fluorescence and FRET/BRET-based reporters of GPCR
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leadership, i.e., the head and vice-head. Overall, the hub provides services in four areas: Strategy • Research • Teaching • Outreach Strategy The senior scientist is responsible for the continuous development
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. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive heterogenous data. Although deep learning methods and
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recommendations, and integrate solutions. Lead the development, implementation, installation, and maintenance of databases; coordinate data collection, database implementation, and usage and any hardware and
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Discovery group of Professor Reinhard Maurer. This project will focus on the development of novel machine learning representations of electronic structure and quantum operators. These surrogate models will be