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Field
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. Despite progress in wastewater treatment, many contaminants persist after conventional treatment and threaten aquatic ecosystems and human health. Advanced electrochemical processes are currently among
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group offers a dynamic ecosystem with enthusiastic colleagues; Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU); You will
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very stimulating scientific environment; The university offers a dynamic ecosystem with enthusiastic colleagues; Salary and conditions are in accordance with the collective labour agreement for Dutch
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environmental challenges? Join the Department of Physical Geography at Utrecht University as a PhD candidate and help shape the next generation of geospatial modelling. Your job Predicting ecosystem dynamics
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change and ecosystem functioning. Our strength lies in the ability to integrate studies of adaptive changes across the entire range of biological organizational levels. About the Soil Biology Group
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
of opportunities for further training and qualifications Flexible working times, mobile working and attractive social benefits Family-friendly infrastructure and support from a family service The
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architecture search to generate a family of related models. An AI service can then trade accuracy for lower energy and carbon at runtime, picking the right model for the current grid status. You will be
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strategies studied in comparison with conventional remediation strategies. The project aims to develop and apply methods for assessing environmental impact, ecosystem services, and technical and socioeconomic
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pursuing projects in the following priority areas are particularly encouraged to apply: Models of demand for blood use Health service delivery for transfusion medicine Implementation science in transfusion
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Postdoctoral Researcher to lead technical service delivery for the Luxembourg Digital Innovation Hub (L-DIH 2.0). Operating at the intersection of process systems engineering, data-driven modeling, and applied