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scientific writing, speaking, and presentation skills. Ability and enthusiasm to quickly learn new approaches and technologies. Requisition ID: 26273 Apply now
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sediment management. This will be done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops will be organized
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, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging
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, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status
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meetings, progress reports, conferences, seminars, symposia, and assist in drafting relevant publications and grant proposals. The candidate must be proficient in standard computer skills relevant to the job
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/an ... University Assistant postdoctoral 34 Faculty of Law Startdate: 01.10.2026 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 6131 Explore and teach
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engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being
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origin, ethnicity, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration, innovation
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
sequelae (e.g., posttraumatic stress disorder, depression, pain and other somatic symptoms) develop after traumatic stress exposure (e.g., motor vehicle collision, military deployment, sexual assault); and
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the gap between new biological insights and impact for patients in an interdisciplinary manner. The position: We welcome outstanding applicants with research interests in any area of machine learning