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the selection of further reactions to run, and their application to targets of medicinal interest. Job description As a PhD student in our growing team, you will develop machine learning methods to predict
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features. Additionally, as part of the SDSC, you will be part of a dynamic team working on applying machine learning methods to various fields, from environmental to political sciences, which will allow you
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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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fully funded, full-time PhD position focused on the development of novel thermochemical approaches for the production of green hydrogen. The position is expected to start on 1 August 2025
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of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) PhD Student to develop and apply methods at the intersection of gene editing
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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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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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university degree in psychology at master level, a PhD, and extensive research experience in one or more of the areas outlined above. You have a track record of excellent international publications as first or
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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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with a high level of scientific independence and will gain relevant experience to apply for independent group leader positions. In particular, you can co-supervise Master or PhD students and participate