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an interest in image analysis and instrumentation. Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR6251-ANAGAU-002/Default.aspx Work Location(s) Number of offers available1Company
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19 Mar 2026 Job Information Organisation/Company Palevoprim Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30
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biophoton detection experiment (measuring photon counting statistics from biological tissue). This involves setting up optical equipment, preparing samples, acquiring data, and performing statistical analysis
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of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers
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24th April 2026 Languages English English English The Department of Mathematical Sciences has a vacancy for a PhD Candidate in Mathematical Foundations of Machine Learning for Sequential Data Apply
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; Ultrafast Dynamics , Condensed Matter Theory , Cosmology , Crystallography , Dark Matter , Data analysis , EIC , Electron Hydrodynamics , electron-positron collisions , electron-proton collisions , Electronic
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 10 hours ago
Demography . We welcome applications from researchers with a PhD in demography, statistics, sociology, economics, epidemiology, public health, or allied fields. Depending on background and interests
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on high-performance computing and quantum computing platforms Analysis and validation of results using classical reference models and simulation data Documentation of research results and contribution
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–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to genotype
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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically