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technology, and Raman imaging for structural characterisation. We are seeking a motivated Research Scientist with strong expertise in graphene and transition-metal dichalcogenides (TMDs) physics and technology
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for developing machine learning models for the automatic identification of species from images collected through electronic monitoring systems (Work Package 3 – Bycatch Monitoring). The candidate will be involved
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tech» and platform power media industries and production digital journalism polarization media narration across text, image and sound science journalism and climate/environmental journalism and
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institutional and societal engagement as well as the embedding in the bigger picture are discussed; a trial lesson on a subject in the relevant field; a screening of leadership. ADMISSION REQUIREMENTS You hold a
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Engineers to contribute to our efforts to successfully deliver a prototype for the detection and identification of bacteria through the effective monitoring of their associated Volatile Organic Compounds
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with the following state-of-the-art fluid mechanics techniques, e.g., particle image velocimetry (2D, Stereo, and 3D such as Tomo-PIV and STB), hot-wire anemometry, high-speed imaging, Planar Laser
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, anesthesia, diagnostic procedures, client and team communication, imaging, dentistry, biosecurity, triage and resuscitation along with other areas geared to developing new-graduate level competency
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a Portuguese higher education institution, under the terms of the provisions of article 25 of Decree-Law no. 66/2018, of August 16th, which approves the legal regime of recognition of academic degrees
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key meetings/briefings, vacation coverage, and recognition of birthdays or service milestones. Qualifications Candidates MUST meet the following basic qualifications to be considered for this role
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Michael Innerberger, reporting to Stephan Preibisch and collaborating closely with the Sgro lab, as well as the Beyene lab and others at Janelia who generate imaging data of cellular signaling. This project