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Department of Ecology A PhD position is available at the Department of Ecology, Swedish University of Agricultural Sciences. The department provides a dynamic and international research environment
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. The project will focus on statistical methods for living network meta-analyses – dynamic networks of interventions that are continuously updated as new evidence emerges. This PhD position offers a unique
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) Advanced statistical evaluations (in particular machine learning-based analyses and research syntheses such as scoping/systematic reviews, meta-analyses and meta-science approaches) Leading functions in data
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monitoring, ecological momentary assessment, mHealth, social media, and telemedicine) Data science for preventive medicine using biobanks, electronic health records, AI, and multi-omics Research methodology
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to design and execute research projects where MSB forms a core part of activities Assist in the activities of institutional research theme: Digitalization, Data Science and Bioinformatics. Contribute and
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) Advanced statistical evaluations (in particular machine learning-based analyses and research syntheses such as scoping/systematic reviews, meta-analyses and meta-science approaches) Leading functions in data
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to obtain one before the position's start date) in electrical/electronics, civil, or environmental engineering, data science, or related quantitative disciplines. The appointee will contribute to the new NERC
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Vision conferences, CVPR, ICCV, ECCV and peer reviewed journals. Minimum Qualifications: PhD in Computer Science or a related field obtained within the last five years. Strong skills in machine learning
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in the KDES (Knowledge and Data Engineering Systems) Research Group, School of Computing Science. ELLIE involves examining the impact of emerging technologies on creative processes, particularly in
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Job Purpose You will contribute to / make a leading contribution to the EU project COIN-3D working with Dr Christos Anagnostopoulos in the KDES (Knowledge and Data Engineering Systems) Research