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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
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(energy, spatial resolution, stability) Analysis and interpretation of experimental data Preparation of scientific publications and presentations at conferences Interaction with academic and industrial
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Studies, MSc Urbanism and Spatial Planning). Courses will include introductory Dutch-taught courses within the BSc Geography, such as cartography, spatial data handling, and spatial analysis
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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Technology » Environmental technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam) Country Netherlands Type of Contract
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will join a dynamic, interdisciplinary team focusedon developing and applying novel AI and statistical methods for multi-omics data analysis. This position offers a unique opportunity to work at the
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, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data generation and interpretation. Integrate spatial methods with other modalities, such as
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
plan comprises: Research and review of the relevant scientific and technical literature for the project; Survey and analysis of shading solutions, with particular emphasis on prefabricated systems
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related fields to apply for this exciting opportunity in the Brown Group in collaboration with EDF UK to develop skills in agent based modelling spatial-analysis, optimisation and economic analysis, as
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Bajcsy, PhD Information Technology Laboratory (ITL) National Institute of Standards and Technologies (NIST) Phone: 301-975-2958 Email: peter.bajcsy@nist.gov URL: https://www.nist.gov/people/peter-bajcsy