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develop and apply advanced preclinical model systems in lymphoma—including organoids, patient-derived xenografts (PDX), and humanized mouse models—to enable functional genomic approaches and the testing
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within our HubMeta platform. The Postdoctoral Fellow will lead the data cleaning, measurement taxonomy development, and AI-integration phases of the project. Reporting to the Principal Investigator (Dr
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access to large-scale neuroimaging and language datasets, advanced analytical tools, and a dynamic, multidisciplinary environment. The researcher is supported in developing independent projects, building
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the EarthCARE Cloud Profiling Radar (CPR) Doppler velocity observations. Lead the development of data products for convective systems for the upcoming WIVERN mission, employing a combination of forward and
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, analyzing and compiling data in study report preparation Assisting senior level staff with the design of experiments and/or development of new techniques Designing and writing standard operating procedures
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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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Position Summary: Proposed project title: “Targeted & Non-targeted analysis of PFAS in food packaging“. Develop and apply liquid chromatography (LC) methods coupled with high-resolution mass spectrometry
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components required for prime editing, as well as the development of efficient delivery methods. Apart from correcting disease-causing mutations, the potential of introducing protective mutations will be
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Research, and Meta. Responsibilities: The Postdoctoral Fellows will be responsible for leading ongoing innovative research projects. Examples include: The development of probabilistic deep learning models
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of APP and other genes causing familial Alzheimer’s disease. The studies will include the design of components required for prime editing, as well as the development of efficient delivery methods. Apart