266 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" Postdoctoral positions at Nature Careers
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and fire tests Data evaluation, interpretation, and scientific discussion of results Documentation, reporting, and presentation of results at scientific conferences and publication of results in
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental
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basin by quantifying the relationship between the dynamics of soil moisture connectivity and streamflow response. This study will integrate satellite-, ground-, and simulation-based data on the landscape
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of Antarctic Marine Living Resources (CCAMLR), which aims to manage the fishery sustainably through ecosystem-based approaches that incorporate data on predator populations, ecosystem state, and krill abundance
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/information indicating the expected defense date Transcript of all modules and results from university-level courses taken List of publications Names and contact details of two academic referees Early
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to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Transcript
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy