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20 Dec 2025 Job Information Organisation/Company KU LEUVEN Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Belgium Application Deadline 16 Feb 2026
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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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the application process, all candidates must provide three letters of reference, at least one of which must address the applicant’s teaching. Minimum Qualifications A PhD in mathematics or statistics (ABD
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Mathematics, Statistics, Applied Mathematics, Applied Statistics, Biostatistics, Mathematics Education or a related field. PhD preferred. Successful applicants must provide official transcripts documenting
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of Engineering. We conduct education and research in systems engineering, electrical engineering, marine engineering, statistics, mathematics, and physics. The research in systems engineering is conducted with
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interests spanning statistical genetics, neuroimaging data analysis and developmental neuroscience, and the study of etiological heterogeneity in the developmental progression of substance use and substance
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, participate in college and university committees, and engage in service and scholarship as appropriate Qualifications At least one graduate degree in nursing is required Doctoral preparation (e.g., DNP, PhD) is
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Researcher (R4) Positions PhD Positions Country Greece Application Deadline 5 Jan 2026 - 23:59 (Europe/Athens) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research
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scholarship as appropriate Qualifications At least one graduate degree in nursing is required Doctoral preparation (e.g., DNP, PhD) is preferred Candidates with a doctorate will be considered for the rank
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. The content of the research activity: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network