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at the intersection of technology, public safety, and healthcare innovation: Join a dynamic team of motivated young researchers in a collaborative and supportive environment Typical PhD duration: 3 to 3.5 years with
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working You have a strong interest or prior experience in the Swiss research landscape, scholarly communication, dissemination of research output and research assessment methods Workplace Workplace We offer
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, documentation, and experimental implementation Profile PhD in Mechatronics, Robotics, Electronics, or related engineering areas Proficiency in mechanical design, embedded systems, and hardware-software
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). The Bokulich laboratory develops bioinformatics methods and software for microbiome research, including QIIME 2, and applies these tools to study microbiomes at the interfaces of foods and human health. Job
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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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(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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the project will be the assessment of the model results with atmospheric measurements, as well the use of statistical inference methods for hypothesis testing. Finally the improved model will be used to provide
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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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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