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Field
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2021. The postholder will join Mario Giulianelli’s research group, which studies information processing in human and artificial systems. A core part of the group’s work also concerns the evaluation
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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is that the candidate is to be admitted to UiA’s PhD program at the Faculty of Humanities and Education. More information is to be found here (in Norwegian): https://www.uia.no/studier/program/phd
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to the design and empirical evaluation of a large-scale field experiment, including household, market and value-chain surveys, quantitative analysis, and the development, testing and implementation of a digital e
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to analyze large multi-modal datasets and/or who wish to deploy the next generation of exposome AI models. These positions come with data ready to analyze: the candidate can focus on developing research
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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pūkeka me kā wheako • A PhD in molecular biology or a related discipline. • Experience in microbiology, proteomics, bacterial genetics and analysis of large datasets is highly desired. • Organised
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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heterogeneous data (free text, structured records, images, audio), including locally hosted and fine-tuned large language models computer vision for biological and medical imaging, including three-dimensional