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/ Laboratory of Mechanics and Acoustics (LMA) – Marine acoustics and Seismic imaging group (Marseille, France) Main collaborators at CNRS-LMA : Dr Nathalie Favretto-Cristini, Dr Paul Cristini, Dr Vadim
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microscopy. Experience in assay development, quantitative image analysis, biomaterial-cell interactions, nanoparticle uptake and intracellular trafficking, cancer biology, stem or progenitor cells, osteogenic
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at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
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, digital image correlation (DIC), and microscopic analysis. Practical proficiency in MS Office and MATLAB. At least 12 years of professional experience in a technical field focused on materials engineering
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materials science beamline specialising in X-ray diffraction and full-field imaging techniques. The beamline serves a very wide user community, spanning physics and chemistry to medical science. A significant
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
parameters, including hydroacoustics, catch data, eDNA, imaging data, phytoplankton and zooplankton Contribute to harmonized FAIR-compliant data products from autonomous observatories and other national
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quantitative imaging is advantageous but not required. Applications will be accepted immediately and candidates will be considered until the position is filled. The successful candidate will be appointed as a
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-weighted imaging on the 3 Tesla and 7 Tesla scanners at the Brain Imaging Center at UC Berkeley. Close collaborators on the project include Associate Professor Kevin Weiner (functional neuroanatomist), staff
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Metabolism Group or Departmental Website: http://wenfei.org(link is external) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field
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other techniques to ensure the records are well connected and well described. Alignment of natural history datasets at the data rather than metadata level Using the LUX paradigm and code to construct a