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in quantum computing. - Solid computer science and analytical skills, including modelling and verification, programming language theory or quantitative model checking. - Experience in programming, e.g
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Postdoctoral Position (f/m/d) | Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis
have been used as a catalyst. Typical materials have been Cu, Ni, Fe, Ag, Pd, SiO2 and Co oxide. The selected candidate can choose to pursue their main project in either thermal catalysis
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offer: Support in preparing your application. Scientific supervision by senior researchers with expertise in ageing biology, behavioural analytics, neurogenetics and Drosophila melanogaster as a model for
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with broad interests in random matrix theory, analytic number theory, probability or statistical physics are strongly encouraged to apply. They will be expected to conduct research which falls within
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relevant analytical techniques (e.g., flow cytometry, high-throughput sequencing (NGS), fluorescence microscopy, qPCR). Proficiency in standard molecular biology techniques (e.g., PCR, Gibson Assembly
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Sep-25 Type: Full-time Categories: Other Staff/Administrative Staff/Administrative Internal Number: R137110 Post
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Postdoc position to support international research and capacity-building projects employing elect...
. Strong analytical and programming skills (advanced Python preferred). Willingness and ability to participate in international fieldwork, including field campaigns in Ethiopia lasting up to 2–3 weeks
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Date 12/08/2025 Requisition Number PRN43760B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Career Progression Track A00 Track Level P5 - Expert, P4 - Advanced, P3 - Career, P2
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Nov-25 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Engineering Internal Number: 308705
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Experience in developing and testing experimental designs, sampling techniques, and analytical methods. Proficiency in using statistical analysis and ability to collect, organize, interpret, and summarize