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- Wetsus - European centre of excellence for sustainable water technology
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Additional Information Eligibility criteria Technical skills: proficiency at ecological modelling, use of the Unix/Linux environment, proficiency at oceanographic data repositories and GIS tools, good
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. Experience in GIS and handling large datasets is a plus. A fully-funded PhD position for four years in a dynamic research group with an excellent research infrastructure in the international and
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Geography, with a solid background in physical geography to ensure a sound understanding of mountain hazards, proficiency in geomatics tools (GIS), and openness to participatory methodologies. Fluency in both
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representations) on the regional scale and preferably experience with GIS to support such analyses; A keen interest in the development of methods and/or theory for research through design and innovative, long-term
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
data, GIS, and environmental modeling. Familiarity with programming languages such as Python, Julia, R, C++, or MATLAB is considered a strong asset. Experience with fieldwork or working with soil
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considered an asset. Demonstrable methodological and analytical skills and the capacity to develop and conduct innovative research. Preferably experience with digital tools, such as Transkribus or GIS
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, administrative and archival data, GIS, and qualitative field research in Colombia, DR Congo, and Sri Lanka. More information is available at www.wareffects.eu . The position is a full-time, three-year PhD
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of gastrointestinal (GI) smooth muscle contraction – 5% d) Determination of oxidative stress in biological samples – 5% e) Histomorphometric evaluation of GI tract samples – 5% f) Quantification of the levels and
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. Preferably experience with digital tools, such as Transkribus or GIS, or the ability and willingness to develop these skills. - Demonstrable experience with archival research, including basic palaeographical
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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research