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, and institutional factors for crime in different societal contexts. This postdoc position is primarily part of the international, qualitative and comparative part of the project. It will involve
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and artistic settings. The candidate will be part of a team that creates algorithms, software, and potentially hardware and explores them in artistic contexts. This postdoc position will be part of WP1
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or equivalent, preferably in machine learning or equivalent fields. A master in computer science/statistics/applied mathematics/electrical engineering can also be considered given that the candidate has formal
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, currently composed of two professors, five researchers, three postdocs, three PhD candidates, and three master’s students. We have a collaborative work environment with active mentoring, frequent group
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 hour ago
focused settings Experience in quantitative, qualitative, or mixed methods, as demonstrated through any or all of the following: Competency in statistical programs, such as SPSS, R, STATA, or MPlus
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requirements: Master’s degree or equivalent preferably in machine learning or equivalent fields. A Master’s degree in computer science/statistics/applied mathematics/electrical engineering can also be considered
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Posting Information Posting Details Department SOP-DPET - 452200 Posting Open Date 08/22/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Postdoc
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(R2) Positions Postdoc Positions Application Deadline 15 Mar 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through
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environment with outstanding basic science and clinical departments, competitive compensation, and excellent benefits. At QBRC, postdocs benefit from: Access to state-of-the-art computational infrastructure and
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). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found