660 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers
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reactors Maintain detailed records of experimental data, process conditions, and system modifications. Publish scientific articles based on data collected during the research, development, and innovation
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Are you interested in optical characterization and can you contribute to the development of the project with instrumentation of Terahertz Time-Domain Spectroscopy for the plastic sorting industry
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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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the development needs of strategic materials. By focusing on full-lifecycle characterization and key technologies across atomic, micro-nano, and macro scales, we are committed to becoming a premier, integrated, and
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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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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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software applications and pipelines for digital pathology and spatial omics data analysis Drive the full software development lifecycle, including design, implementation, testing, deployment, and maintenance
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The University Hospital Heidelberg is one of the major healthcare centers in Germany. Our objective is the development of innovative diagnostics and therapies as well as their quick implementation
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. The Institute of Molecular Medicine II, headed by Prof. Dr. Philipp Lang, focuses on the molecular basis of infections and immune responses and the development of new therapeutic options in connection with
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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