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phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type-specific drug responses, identifying transcriptional
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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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PhD-level and masters-level statisticians, and doctoral students. The group is involved in a wide variety of research projects, including the development of statistical methods, population-based cohort
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launched with the recruitment of 20 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS
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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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-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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this deadly disease. Specifically, the student will develop and apply sensitive methods for MS-based analysis of clinical lung cancer samples. Further, the student will apply machine learning methods
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and characterization of the brain circuits controlling body weight. The student will learn viral-based tracing techniques, and to image and control neuronal activity using photometry and opto- and chemo
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scientific reports and manuscripts linked to the project. Moreover the student is expected to prepare scientific presentations linked to the project. This PhD project aim to equip the student with a broad
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requirement for doctoral/third-cycle/PhD education if you: have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or have satisfied the requirements for courses comprising at least