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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at CMU is a world-renowned research and education hub at the forefront of natural
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other software for nonlinear analysis of structures; the ability to use a programming environment (e.g., Python) will be an additional advantage; • Documented active participation in national and
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analysis and programming skills are desirable. • Professional skills: ability to work independently and initiate new areas of research. Strong analytical, synthesis, and scientific communication skills
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landscape. Candidates must be highly motivated, well organized, technically proficient, critically minded, and able to work independently but collaboratively with others. Candidates must possess a PhD, MD, or
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the analysis of data from the ESA Euclid mission—and 21-cm intensity mapping, especially from the SKA Observatory (SKAO). Our goal is to generalize existing analytic methods—particularly the Effective Field
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-dimensional single-cell analysis technologies and spatial proteogenomics to dissect interaction networks between immune cells and the tumor microenvironment. The post holder will develop experimental work flows
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are looking for a researcher to drive the preparation and analysis of new and existing large-scale wearable sensor datasets. You will be an integral member of the wearables group based at Oxford, led by Aiden
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of the work and experimental work: Cell Sorting Flow cytometry: cell marking and analysis. Cell cultures Molecular biology techniques: massive sequencing techniques; processing of biological samples DNA, RNA
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 6 days ago
model analyses with reanalysis data to quantify the direct and causal effects of sea ice changes on large-scale circulation patterns and extreme events. Your Tasks Set-up and performance of large-ensemble
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for multi-disciplinary research and teaching. We are looking for a researcher to drive the preparation and analysis of new and existing large-scale wearable sensor datasets. You will be an integral member of