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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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leftward flow in the left–right organizer (LRO), but the identity and mechanism of the flow-transported symmetry-breaking cue has long remained elusive. Defects in this process are a major cause of
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well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
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. The answers will be used as a part of the selection process. You should also submit a CV including a list of publications. Please submit your application by the 11th of January 2026, UFV-PA 2025/3754. Are you
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. As a postdoc fellow in the AMBER programme you
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-associated proteins. Collect and process cryo-EM data using the Talos Arctica and downstream pipelines (e.g., cryoSPARC and RELION). Integrate structural findings with biochemical and genetic data to define
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 31/12/2025 Application process open
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power