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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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-, 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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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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100%, Zurich, fixed-term Applications are invited for a PhD position on Water Disinfection Chemistry in the Environmental Chemistry group at ETH Zurich. The project focuses on the recent discovery
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actively contribute to and participate in the company’s success Streamlined decision-making processes, flat start-up hierarchies, and modern working methods that cultivate great ideas Modern office in
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outcomes. Curious? So are we. We look forward to receiving your online application with the following documents: PhD certificate CV Publication list with a clear statement on own contribution 2-page proposal
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meetings. Contribute to the supervision of graduate students and support lab management. Profile PhD in Materials Science, Food Science, Physics, Chemical Engineering, or a related field. Strong background
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The Plant Ecology Group at ETH Zürich, led by Professor Janneke Hille Ris Lambers, is seeking an enthusiastic PhD candidate to study how seed and seedling pathogens influence forest regeneration
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technologies to characterize animal genomes, and apply bioinformatics and statistical genomics approaches to identify trait-associated sequence variation. We offer a PhD position at the interface