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Field
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-offs and synergies of land use decisions desirable Good knowledge of statistics and relevant software products (R, SPSS, jamovi or similar) Good knowledge of analysing spatial data (geoinformation
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infrared spectroscopy, simultaneous Raman spectroscopy, and co-located fluorescence imaging. This combination enables label-free chemical identification and high-resolution spatial mapping of plastics and
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technologies and drone-based measurement platforms are creating new opportunities to study the composition of the atmosphere at unprecedented spatial, temporal and vertical scales. In this position, you will
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initiatives as needed. You might be a fit if you: Have a PhD in computer science, statistics, applied math, computational biology or related discipline Strong programming fundamentals and statistics knowledge
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generation of tools and technologies to advance precision diagnostics and therapeutics. Essential Skills Applicant can have their PhD at the time of the application or could be working towards the PhD or MD
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for efficiency monitoring and fault detection, combining sensor data, system layout knowledge, and physical principles to extract spatial-temporal features and predict equipment behaviour; 2) Statistical anomaly
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presentation skills in English equivalent level Good oral and written presentation skills in Norwegian/Scandinavian equivalent level [B2] Experience with statistical modelling of spatial ecological patterns
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approvals, data access agreements, privacy). Required Qualifications Candidates must hold, or be within ~6 months of completing, a PhD (or MD/PhD) in a relevant field — for example human genetics, statistical
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-secondary education or relevant work experience. Additional Qualifications and Skills: PhD in Bioinformatics, Biostatistics, Computer Science, Statistics or related field- strongly preferred. Substantial
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within the Division of the Social Sciences at the University of Chicago, is an interdisciplinary academic unit dedicated to advancing research, teaching, and public engagement on the societal, spatial, and