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educational programs in Computer Science, we are now seeking 1-2 PhD Students with a focus on Cryptography and Cybersecurity. The Department of Computing Science at Umeå University is an international
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Computer Science (DIDA) is one of three departments at the Faculty of Computing
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision
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of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models for latent variables and their connections to modern
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programme. The programme comprises 25 credits and is offered at two study rates: 25 credits over eight semesters, corresponding to four years of full-time study, or over twelve semesters, corresponding to six
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for the doctoral program if he or she: has been awarded a second-cycle qualification, or has met the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second
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with access to experienced supervisors and regular seminar and research activities. The Department of Clinical Sciences, Lund, is now announcing a PhD student position within the doctoral programme
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diagnosis and treatment of breast and prostate cancer. You will work closely with computational scientists, molecular biologists and clinical researchers in a translational setting. The research is conducted
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thriving research environment. You will also have many opportunities to enhance your teaching skills and personal development. For more information about our PhD program, please visit our information page
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part of the SciLifeLab and the research school of the Wallenberg National Program for Data-Driven Life Science (DDLS), within the research area Cell and Molecular Biology. To achieve this, the doctoral