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core tasks, you will be encouraged to contribute to the development and practical application of innovative approaches, for example in the area of open data. In addition, you will be responsible
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biomarkers. To develop organ-on-a-chip to evaluate health impact of environmental pollutants. To perform data analysis and result communication. Profile A doctoral degree in biotechnology, bioengineering
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experimental and simulated data, leveraging AI and machine learning techniques Contribute to novel computational optimisation methods for machining processes Develop and implement automation solutions, including
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Join Grid2050 - Help Build the Future of Energy Data Infrastructure. As part of Grid2050 , we are building a high-performance, secure, and fault-tolerant data platform to power cutting-edge energy
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the Netherlands. Your role will include cleaning and processing data from our partner agencies, training and fine-tuning machine learning models to predict refugee resettlement outcomes, and conducting simulations
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You will support the ESA Chair and LEA with general research-related tasks relating to ongoing projects, e.g., literature reviews, data analysis, reference management, and (depending on experience
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fluids. Together with the Bioinformatics team, the Proteomics Unit covers all steps from initial consultation, experimental design, sample preparation, liquid chromatography mass spectrometry (LC-MS) data
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Intelligence - SCAI Lab at ETH Zurich. Our team of clinical and research scientists is dedicated to improving healthcare systems using physiological and clinical information analysis for a closed-loop decision
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aimed at further developing teaching at ETH Zurich. You will support cross-functional projects, analyze education policy-relevant data, and help translate insights into impactful recommendations. Join the
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via email or postal services will not be considered. Further information about Department of Mathematics can be found on our website . Questions regarding the position should be directed to Prof. Dr