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of inflammatory diseases such as multiple sclerosis (MS). We are working to integrate large-scale clinical information with molecular genetics, environmental/lifestyle data and registry data. This work is based
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of four years of full-time doctoral education is required. One Ph.D. position is available in cancer precision medicine using advanced machine learning methods and AI methods on large-scale data
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. Experience in analysis of large-scale data and advanced skills in programming in R and/or Python (or other programming languages) are required. Proficiency in written and spoken English is mandatory. We put
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include large-scale and multi-modal medical data curation (imaging and non-imaging, clinical data entries), understanding and development of deep learning model (both convolutional networks and vision
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studies across different populations, focusing on the use of novel technologies to monitor health-related behaviors and support behavioral change and extending to technological development and advanced data
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of four years of full-time doctoral education is required. One Ph.D. position is available in bioinformatics with a focus on large-scale data analysis using artificial intelligence. The research project is
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large data resource from the colorectal cancer quality register that includes all patients diagnosed with colorectal cancer in Sweden. Throughout the doctoral project, the candidate will have the
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-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb This PhD program is part of
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has around 70 employees, it has a strong focus on research with unique research resources, such as large-scale longitudinal studies and nationwide registries. To be a doctoral student means to devote
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, assist with overall project coordination, support and conduct primary data collect, carry out quantitative and qualitative analyses, and interpret and present results. As a PhD student, you will also