212 data "https:" "https:" "https:" "https:" "Dr" "UCL" positions at ETH Zurich

  • ETH Zurich | Switzerland | about 10 hours ago

    address foreign supply shocks for strategic technologies, for instance energy technologies To this end, the doctoral student will conduct empirical studies with patents and other innovation data You will

  • ETH Zurich | Switzerland | 2 days ago

    clinical data usability. This position is embedded in a close collaboration between ETH Zurich’s Medical AI Lab and the University Children’s Hospital Basel (UKBB), enabling direct interaction with

  • ETH Zurich | Switzerland | 2 months ago

    component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even

  • ETH Zurich | Switzerland | about 10 hours ago

    page max) Statement of future research interests (2 page max) Contact information for 3 references Please note that we exclusively accept applications submitted through our online application portal

  • ETH Zurich | Switzerland | 11 days ago

    portal. Applications via email or postal services will not be considered. For more information, please visit our website . Questions regarding the position should be directed to Amanda Gogates

  • ETH Zurich | Switzerland | about 9 hours ago

    Transcript of records Etc. Further information about AMLZ can be found on our website . Questions regarding the position should be directed to Sebastian Lang, selang@ethz.ch (no applications). Please note that

  • ETH Zurich | Switzerland | 2 days ago

    research achievements and research interests Detailed CV Transcripts of all degrees (English) Names and contact information of at least 2 references Representative published research work (Papers or thesis

  • ETH Zurich | Switzerland | 11 days ago

    to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development

  • ETH Zurich | Switzerland | 2 days ago

    . ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital

  • ETH Zurich | Switzerland | about 9 hours ago

    future . Curious? So are we. We look forward to receiving your online application with the following documents: Application Letter Updated CV Names of two references Further information about the

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