79 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Aarhus University
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and machine learning methods—including large language models—into the visualization pipeline. Responsibilities Lead research projects within the intersection of data visualization, human-centered AI
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ecology, microbiome analyses, shotgun meta-genomics, microbial functional annotation, and high-performance computing are encouraged to apply. Who we are The Department of Ecoscience at Aarhus
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-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly
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immunohistochemistry. These complementary methods will relate regional imaging and binding measures to cell-specific gene expression and intracellular signalling. Experience with stress-related behavioural
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, adapt and use deep learning methods for analyses of omics-based data obtained in the project. Collaborate with international partners and contribute to joint research efforts within the program
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conditions. The Post Doc is expected to independently take part in cultivation of plants, optimizing methods for extraction of extracellular vesicles and development of targeted methods for assessing
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environment. CEPDISC brings together philosophical analysis and empirical social science, including political psychology, political behaviour, and experimental methods. The positions are full-time and
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skills in spoken and written English, and an ability to produce state-of-the art social-science research. Experience with both quantitative and qualitative analyses, as well as mixed-methods designs are
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productivity and farm production. You will also develop methods for upscaling the findings on costs and benefits to the EU level. You will be involved in collaborations with researchers in agricultural and
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funded by the Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed). SMARTbiomed is an international collaboration between Aarhus