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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 240 credits
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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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-throughput datasets including metabolomics, proteomics, and transcriptomics. By aligning the model predictions with physical interactions between biomolecules, our approach ensures that the results are both
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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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for classification of lung cancer subtype based on the generated MS-data. Finally, the student will evaluate the applicability and value of the developed clinical proteomics methods in a clinical setting. The PhD
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of four years of full-time doctoral education is required. The research group The PhD student will be working in the Stina Wickström/Rolf Kiessling research group under the main supervision of Stina
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Smartseq3Xpress techniques. He/She should have a PhD in neuroscience and be familiar with electrophysiological techniques, specifically Patch-clamp and extracellular recordings. Knowledge and expertise in time
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role in the entire research process under the supervision of their PhD supervisors. Through participating in study design, data processing and analysis, interpretation and communication of findings
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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