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management by co-supervising bachelor and master thesis. The researcher will be supervised by Prof. Colette Heald. Profile Applicants should hold an PhD degree in atmospheric science, earth science
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100%, Zurich, fixed-term The Plant Ecology Group at ETH Zürich is seeking an enthusiastic PhD candidate to study the factors underlying the success of assisted migration of mountain plants
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diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from anthropology and social science to biostatistics and
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to enhance stability, reduce variability, and enable data-driven optimization and maintenance strategies. Job description Your Tasks Develop and implement AI methods for in-process monitoring of surface
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, including weekends, may be required. You have: A PhD in Life Sciences, Medical Sciences or Bioengineering At least two years of postdoctoral, scientific editing or industry experience Excellent spoken and
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-, landscape-, and regional scales. Assess and address scaling-related distortions in forest dynamics forecasts and ecosystem service evaluations; develop methods to reduce these effects. Develop measurable
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techniques (e.g., filter-based, morphological, and statistical methods) with machine learning approaches Collaborate with interdisciplinary teams, ensuring seamless integration of image analysis with
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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variety of molecular methods (molecular biology, adaptive laboratory evolution, library design and directed evolution, protein structure/function relationships, next-generation sequencing), as
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post-graduate level, supervising Master and PhD theses, developing research at the highest international level, securing external funding and taking up administrative and organizational duties in