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collaboration with NSW DPIRD Scientists and Managers (as part of the NSW Marine Estate Management Strategy) and support a variety of research students (Honours, Masters and PhD) and this position will also play a
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and restorative recommendations for institutional strategy You will possess: A PhD in history or a related discipline, or equivalent research experience Experience accessing and working with archival
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research group. The successful candidate will be expected to make a vigorous contribution in one or more of the following research areas and contribute to the supervision of PhD and MRes research students
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Recognised Researcher (R2) Positions PhD Positions Country Austria Application Deadline 22 Sep 2025 - 23:59 (Europe/Brussels) Type of Contract Other Type of Contract Extra Information 2-year fixed-term
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testing and stakeholder engagement. Collaborate closely with the PhD researcher to connect environmental data analysis with computational design innovation. Participate in fieldwork in Norwegian glacier
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
biodiverse and socioeconomically complex regions like the Amazon. This PhD will explore how tropical forests are functionally adapting to climatic pressures such as drought and warming, and how
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. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re here to support you. A diverse and equitable study and work
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opportunities to develop research profile, to travel to give demos and presentations, and to write academic papers. Candidates should hold a PhD degree in Computer Science or other relevant discipline. The
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personality: Excellent German language skills (at least C1 level) are essential Completed doctoral/PhD studies in Islamic-Theological Studies or a comparable discipline Research in the field of Islamic theology
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets