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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Leipzig, Sachsen | Germany | 2 days ago
employment. Starting date: 01.05.2026 Job description:PhD Student (f/m/d) Tomographic analysis of flow fields in pore networks affected by clogging With cutting-edge research in the fields of ENERGY, HEALTH
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research, including: pre-clinical mouse models of cancer multi-parameter flow cytometry and immune phenotyping histology, immunofluorescence and spatial tissue profiling cell culture and molecular analysis
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electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by completing the required employment application for this recruitment and submitting
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and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). LOE currently has >150 researchers and research students across thirteen group sharing an open lab environment for fruitful
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are: Conducting in vitro and in vivo experiments with medulloblastoma models within the parameters of the funded project, under the supervision of the lead researcher. Collaboration in experimental design, as
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The mission of 4-H Camp Bristol Hills is to provide youth with a unique, fun outdoor experience under the guidance of positive role models, emphasizing positive social interaction, environmental
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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies
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junior developers and researchers Stay current with the latest developments in Deep Learning frameworks for weather forecasting and climate science. Where to apply Website https://jobs.fbk.eu/Annunci
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https://www.uaic.ro/angajari_uaic/cercetator-postdoctoral-in-cadrul-proiectului-european-soil-erosion-and-monitoring-and-modelling-network-for-sustainable-agricultural-land-management-acronim-eurosion
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics