64 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" positions at Nature Careers in Worldwide
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. However, progress is constrained by the scarcity of high-quality, well-characterized in vitro T-cell immunogenicity data. In this project, we will leverage expertise and technology in peptide T-cell
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
technical autonomy. You will be responsible for engineering the core imaging data science infrastructure that powers our clinical and research missions. In addition to collaborating on high-impact AI research
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analysis to extract information on atomic dynamics from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity at the single-atom level Understanding of atomic
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking for the best
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, military branch, conflict counselling). Experience in data entry and working in emergencies and fast pace, stressful environment. Some experience with computer systems, including Microsoft Office (Word
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position
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psychology/behavior change interventions, exploring the underlying mechanisms that drive behavior change and developing effective interventions in the context of health and well-being For further information
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will