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Position Announcement We are seeking motivated university students to design, build, and deploy no-code AI solutions using Cerbrec Graphbook to address real-world operations management challenges
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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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of possible useful categories to analyze the data. Sort and aggregate data into broad categories and administrative levels (such as postal codes or municipalities) Collaborating on writing scientific articles
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cellular models. Proven track record in coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students
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. Ability to work independently, manage deadlines, and write clean, reproducible code. Strong interest in finance research and excellent communication skills. Interested applicants should submit a cover
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USNH Employees should apply within Workday through the Jobs Hub app The Research Assistant will provide assistance with digitizing, coding, use of OCR (Optical Character Recognition) software
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related field. You will bring strong analytical and coding skills, with an interest in developing robust, transparent methods and high‑quality research software. You are comfortable managing your own
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and ensure reproducibility through well-documented analytical code and workflows. Contribute to peer-reviewed publications, policy reports and dissemination activities that enhance national impact and
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participant recruitment, scheduling, and documentation. • Support qualitative data collection, coding, thematic analysis, and knowledge translation. • Assist with scholarly output (abstracts, posters
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Goldsmiths’ Health and Safety Codes of Practice and Policy at all times. The successful candidate will be expected to work on campus at New Cross where required. You can learn more about the grant here