374 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" positions in Switzerland
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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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stage, nor is it intended to support doctoral dissertations. We also encourage small interdisciplinary teams of up to three people to apply with a joint project. Please find more information here about
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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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programs . Application Form & documents to upload You will first have to fill in the online application form . Requested information: your personal details your academic background the doctoral program you
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data collectedfromtwo cattle breeds. Existing PacBio HiFi sequencing data will be complemented with ultra-long sequencing using ONT to build near complete assemblies for the sex chromosomes. This sub
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on our work and constantly improve it. We believe that the world can be improved with open data. Project background As part of our Open Science team, you will support us in developing efficient data
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. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland. The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively
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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