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Field
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Independently and creatively identify laboratory solutions Independently review, develop and implement new or modified laboratory techniques required for research projects Provide laboratory science expertise and
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
designed to prepare postdoctoral researchers for a successful ERC Starting Grant application or equivalent and for an independent research career in top research organizations in Europe and around the
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Contribution – 15% • Mentor research technologists, students, and/or interns. • Prepare and contribute to manuscripts for publication. • Participate in local and national scientific meetings. Other
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immunotherapy interventions targeting CD4+ T cells based on recombinant monoclonal antibodies or mRNA-containing lipid nanoparticles. The project will be primarily developed in a pre-clinical murine model of lung
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. Coordinate team workflows and monitor progress to ensure timely completion of assigned responsibilities. Essential Function Yes Percentage of Time 40 Job Duty Develop programmatic methods to process data and
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manuscripts, grants and train undergraduates in the lab is desired. PhD in a biomedical science such as physiology, exercise science, pharmacology, or immunology earned by the start date. Research experience in
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methods, and possibly other techniques Implement, trouble-shoot, optimize, and develop new assays, making innovative contributions to laboratory procedures Assist with training of research methods and
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Postdoctoral Research Associate to join the Microbial Engineering Group. In this role, you will develop next‑generation genetic tools for non‑model microorganisms, enabling precise genome engineering in
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Requisition Id 16722 Overview: We are seeking a Postdoctoral Research Associate within the Advanced Machining and Machine Tool Research Group who will focus on developing, evaluating, and
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data