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100%, Zurich, fixed-term The Chair in Nonlinear Dynamics at ETH Zürich is seeking a highly motivated PhD student in the area of data-driven model-reduction for high-dimensional nonlinear physical
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for an exceptional and highly motivated PhD candidate for a joint project. We are recruiting a full-time (100%) PhD Student with a strong interest in peptide chemistry, mass spectrometry, and modern drug discovery
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) at ETH Zürich within the Centre for Digital Health Interventions . You will lead the Revelio initiative and co-supervise two PhD students in close collaboration with Prof. Elgar Fleisch (ETH Zürich) and
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relations. The ideal candidate will bring a strong interest in the role of data and technology in shaping environmental governance. We are looking for someone who: Holds a PhD (or will have completed one
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research assistant position in Development Economics. The starting date is the 1st of October for 6 months. This is a position to get some research experience between a Master’s degree and a PhD program. Job
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framework for uncertainty quantification, which is widely used in academia and industry. Project background This PhD position is part of the ORACLES project ("Optimization, Reliability And CaLibration using
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framework for uncertainty quantification, which is widely used in academia and industry. Project background This PhD position is part of the ORACLES project ("Optimization, Reliability And CaLibration using
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and
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applications. Experience with research in these assays is highly desirable. Profile PhD degree in bioinformatics or a related field Proficient in NGS data analysis with excellent scripting skills In-depth
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collaborate with consortium partners from various scientific disciplines, supervise Bachelor’s, Master’s, and PhD students, contribute to scientific publications, and present your research findings