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on probability, partial differential equations, large deviations, stochastic analysis, optimisation and machine learning. The successful candidate will contribute to the activities of the Machine Learning & Data
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EoLC Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data and disseminate it through peer-review journals, press conference or other means Draft
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collection with informal caregivers, healthcare professionals and other stakeholders, register and retrieve data from REDCap. Analyse qualitative data using, for example, reflexive thematic analysis
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10 Sep 2026 Job Information Organisation/Company Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) Department Vascular and Renal Translational Research Group Research Field
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/Responsibilities Research and Data Analysis – 60% Conduct high-level research supporting the NIST CDF project and other funded research projects. Responsibilities include developing and implementing sample
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of excellence to retrieve the highest quality information from image data. The project focusses on implementing an agentic framework for automation of correlative imaging and the corresponding image analysis in
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techniques. ● Proficiency in instrument control, data acquisition, and data analysis using tools such as LabView, Python or MATLAB. ● A record of peer-reviewed publications and demonstrated ability
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analysis. Secure and maintain research ethics approval and manage data in line with University policy, funder requirements and applicable data protection law. Maintain transparent and reproducible research
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 12 days ago
for Pore-C data Image analysis Programming in R and/or python Your profile We are looking for a motivated team player with strong communication skills and the desire to work in a dynamic environment
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering - Prof. Rohit Karnik and Prof. Zachary Smith, to work on experimental measurements, process design, and techno-economic analysis