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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 3 hours ago
. two pages). Your CV and copies of degree certificates (Bachelor’s/Master’s/PhD diplomas and/or transcripts). Names and contact information (including e-mail and phone) for 2-3 referees. [NB. you may
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100%, Zurich, fixed-term The Swiss Seismological Service (SED ) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning
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100%, Zurich, fixed-term With our cutting-edge research, ETH Zürich's around 12’000 employees make essential contributions to the well-being of society for a future worth living. In the Automatic
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interdisciplinary collaborations with several groups in the ETH domain, at the national level (for example, the NCCR Microbiomes ) as well as international partners and large research consortia. We are seeking a
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doing so it provides a stimulating, flexible and family-friendly working environment; working closely together with ETH researchers to provide support in the wide area of scientific computing from data
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3 May 2024 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Environmental science » Earth science Physics » Other Researcher Profile First Stage Researcher (R1
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Postdoc position on ultra-long read sequencing for animal epigenomics, transcriptomics, and genomics
sequencing A Curriculum vitae including a list of publications, complete academic record, and copies of Bachelor's, Master's and PhD degrees Names and contact information of two references Please note that we
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to DNA damage and mutagenesis, microbial metabolism of chemicals, and precision medicine. Profile You have experience in the evaluation and visualization of diverse large data sources for characterizing
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sequences Have experience with computer simulations and programming Your workplace Your workplace We offer ETH offers an exciting opportunity to work at the forefront of scientific research. Collaborations
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to project future forest responses to global change drivers. Job description Compilation of existing, large data sets across Europe Identification of forest resistance and resilience to deposition and climate