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and in vitro assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned
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20 Sep 2026 Job Information Organisation/Company Lunds universitet Department Lunds universitet Research Field Demography Researcher Profile Recognised Researcher (R2) Application Deadline 2 Oct
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logistics Analyse and interpret large-scale molecular data (approximately 11,000 proteins per project) in collaboration with our bioinformatics and statistics collaborators Publish results in international
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infection with Phytophthora or Ralstonia. You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen invasion and plant performance. Working
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accessibility, and dependency on corporate-controlled resources. The project aims to develop data-efficient and reliable training strategies for vision foundation models, reducing the need for large datasets and
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,orarelatedfield · Strongbackgroundinquantitativemethods,statistics,anddatascience,with demonstrated experience in empirical research and data analysis of large datasets
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21 Sep 2026 Job Information Organisation/Company Max-Born-Institute Department T2 Research Field Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Computational pathology and digital pathology using whole slide imaging (WSI) Spatial biology, spatial transcriptomics, and multi-omics data integration Large language models (LLMs) and foundation models
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Are you intrigued by how you can shape the energy transition by scale up of green electricity based large-scale energy storage via CO2 capture and dynamic conversion with hydrogen from electrolysis
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide