300 web-developer "https:" "https:" "https:" "Newcastle University" Postdoctoral positions at Nature Careers
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Job Description Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies
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communication skills orally and in writing are mandatory. Who we are All post doc fellows will be part of Center for Ice-Free Arctic Research (CIFAR). You can find more about the center here: https://bio.au.dk
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University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:884285/ ) and submitted by the deadline 2026-02-12. The application must contain: Cover letter describing your research
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career researchers in the field of forest sciences to prepare and conduct their next research project at the University of Göttingen, one of the leading institutions for forest sciences in Europe. About
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The Department of Ecoscience, Section for Wildlife Ecology at Aarhus University is seeking a postdoc (2 years) to develop and apply camera-based methods for population monitoring of bats
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The Daasbjerg research group at the Department of Chemistry, Aarhus University, is seeking a candidate for a 31-month postdoctoral position. This position focuses on AI/machine learning to develop a
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biology and publication records (minimum of one-first author publication in a peer-reviewed journal) are encouraged to apply for the open position ( https://talent.stjude.org/postdoc/jobs/JR1859 ). St. Jude
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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; phone: +45 2498 4101). Application deadline The application deadline is January 25, 2026, at 23.59 hrs. CET. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models