1,673 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of New Hampshire" positions at Nature Careers
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(including CREDIT TRANSCRIPTS!) Contact information of two referees, who have PREVIOUSLY SUPERVISED you in your past research projects Via our job portal/ Apply now - button If you have any questions, please
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applications of macrosopic quantum coherence in levitated solidstate platforms. Our Team is part of the Quantum Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics. We are member
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and painting material properly. Use equipment properly to prep area in need of wall covering or painting. Provide advice, information and assistance for occupancy on proper color and materials. Provide
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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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, while being supported in developing programming and data analysis skills. Projects may include generating and analysing complex genomic datasets, contributing to method optimisation, and engaging in
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domains, fostering the acquisition of horizontal skills around presentation & communication skills, scientific English, protocol development, data evaluation, and training in Nutrition. A close link to lab
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human health. Within this mission, the Health Data Science Centre (HDS Centre) at HT has been planned in partnership with Politecnico di Milano and is developing several lines of research, with the aim
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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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