10 linked-data-"https:"-"https:"-"https:"-"https:" PhD research jobs at ETH Zurich in India
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information for at least two academic referees Further information about the Centre for Radiopharmaceutical Sciences ETH/PSI can be found on our webpage https://radiopharmaceutical-science.ethz.ch/ and
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innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will investigate the
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Technologies Programme (FHT1) at the Singapore-ETH Centre (SEC) (https://fht.ethz.ch)developed and piloted innovative upper limb rehabilitation technologies and evaluated them in a clinical context, both
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and chemical plumes in shear flow, and analyze the data with quantitative image- and data-analysis pipelines. Test clinically relevant bacteria and freshwater (e.g. lake) bacteria, to assess the
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data. The candidate will be part of a research project led by Dr. Christian Wagner and Prof. Dr. Stephan Wagner. Further responsibilities include supervising master’s theses, assisting with teaching
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are computationally expensive, making them clinically impractical at scale. The solution lies in image-based, data-driven (AI) models that learn to predict personalised fracture risk directly from
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PhD student for High-ResolutionTime-Resolved Microstructural Evolution Under Ion Irradiation via TEM
kinetic rate theory Data analysis and interpretation: Drawing conclusions from experimental and simulated data Scientific reporting: Publishing and presenting research findings Collaborative research
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convert sequencing data into quantitative fitness values Collaborate with a computational biology group at D-BSSE to develop and benchmark machine learning models Prepare data and manuscripts for
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evaluation, representation learning, and generalization A solid understanding of signals and time-series data (e.g., sampling, frequency, phase, noise, spectral representations, and filtering) Strong
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have experience implementing scientific code and assessing computational results through validation, verification, and quantitative comparison with reference data. You have prior programming