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Qualifications: Research interests in stochastic analysis Experience in teaching and mentoring students IMPORTANT: Applications must also be submitted online at https://isu.wd1.myworkdayjobs.com/IowaStateJobs/job
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) of nanoparticles, especially extracellular vesicles and biomolecular analysis of these. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as
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to collaborate in the GENETICS AND RARE DISEASES group (EPI) at the IIS Biobizkaia Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiobizkaia/es/Convocatorias… Requirements Research
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, including data analysis and novel statistical approaches. We are particularly interested in characterizing microbial cells in the planktonic state as well as communities of cells. We are seeking researchers
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of IETR's technological platforms: 1) nR (NanoRennes) platform, https://www.ietr.fr/en/nr-nanorennes-platform with experience in microfabrication. 2) M²ARS (Manufacturing Measurement Analysis of Radiating
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supports standardized compensation processes by assisting with job analysis, data collection, market research, and compensation reporting in support of consistent, data-driven practices across all USG
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Associate/Assistant in Data Analytics to develop analytics and AI tools for information retrieval, analysis, and action
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Numerical analysis of fully explicit phase-field models for dynamic fracture of materials H/F Numerical analysis of fully explicit phase-field models for dynamic fracture of materials Understanding
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underpin UK sexual health policies and programmes. You can read more about the Natsal surveys here: https://www.natsal.ac.uk/ Based in the School of Health and Wellbeing, you will make a leading contribution
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results pre-post RP implementation. Specifically, provide: Descriptive analysis of two de-identified data files Collaboration on determining appropriate inferential analysis Conduct one inferential analysis