208 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "WENZHOU KEAN UNIVERSITY" positions at ETH Zurich
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We look forward to receiving your online application including a: CV publication list statement of research interests and the names and contact information of at least two references. Please note
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, including data management and the maintenance of computational infrastructure and software. Project background The position is part of the Institute of Microbiology at ETH Zurich and closely linked
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. Project background Misinformation has severe negative effects on personal decision-making and societal integrity. In today’s information environment, misinformation is rampant. Over the past years
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industrial partners to tackle advanced modelling, simulation, sensing, and data analysis challenges in engineering systems across sectors. Project background The COMBINE Doctoral Network aims to train a cohort
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therapies. Project background We are seeking a highly motivated Bioinformatics Scientist / Data Scientist to conduct multi-omics data analysis. This individual will play a key role in analyzing high
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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engaged in development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors
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data analysis. In the Bioanalytics Group, a PhD student and a postdoctoral fellow will work together on different aspects of the microfluidic platform and sample preparation. Job description The
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at the University of Zurich, the Department of Informatics at ETHZ and several further partners, we address the challenge by the combining microfluidic technology, sequencing and fast data analysis. In
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approaches to partition existing forest flux data sets across Europe Identification of flux drivers and their temporal development to understand responses of forests to climate and extreme events Compilation