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of the studied events Exchanging results with the project team and collaborators Publication of results in international journals and at conferences Your qualifications: A Master’s degree (or equivalent) and a PhD
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productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in social-structural determinants of health, intersectionality, and community
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. Qualifications PhD Certificates/Credentials/Licenses n/a Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned
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. Qualifications PhD Certificates/Credentials/Licenses n/a Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics
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postdocs. You will join a new research program on the role of universities and entrepreneurial ecosystems in building deep tech startups and scaleups. You will work towards building a landmark database on
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scientific journals. Your profile The position is offered to a highly motivated candidate with a PhD degree in Soil Science, Environmental Science, Biogeochemistry, Wetland Science, or related disciplines. We
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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
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or documentation of formally delivered doctoral thesis (translated to English if necessary; Scandinavian languages are accepted). References. Contact information for references from the PhD programme or previous
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic