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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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Position Details Position Details Job Title Post-Doctoral Research Position Number 8150599 Job Category University Staff Job Type Full-Time FLSA Status Exempt Campus Maywood-Health Sciences Campus
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Posting Details Position Information Fiscal Year 2025-2026 Position Title Postdoctoral Associate, Microbiology and Immunology Classification Title Postdoctoral Associate Department Microbiology and
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project. The ideal candidate will have experience in yeast strain development and engineering CRISPR-based control of gene expression. This position will allow for both professional and laboratory skill
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 21 August 2025 Apply now Do you want
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
around interaction with IRMII’s nearly 40 industry partners. Minimum Education and Experience Requirements PhD in a relevant field in the areas of engineering, natural sciences, finance, economics, data
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. The position will provide technical and research knowledge in the field of implementation science, contributing to a range of projects conducted within the Implementation to Impact program, School of Population
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reference letters. Our Offer Very competitive salary and benefits package. A unique set of research partners and collaborators. Access to a pool of highly motivated and rigorously selected Master and PhD
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: This position may require work beyond normal office hours and/or work on weekends Qualifications Required Education Appropriate PhD in a related field. Preferred Qualifications Prior experience in computational
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for Computing Machinery, New York, NY, USA, 1222–1236. [3] C. Orfanidis, L. Marie Feeney, M. Jacobsson and P. Gunningberg, "Cross-Technology Clear Channel Assessment for Low-Power Wide Area Networks," 2019 IEEE