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the developmental rules underlying phenotypic variation. The successful postdoctoral fellow will develop and implement an empirical framework that utilizes data-driven algorithms to learn relationships between past
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of the results The position is within the research group of Prof. Ingela Lanekoff that strives to develop and establish new innovative method within the research field of analytical chemistry. The research is
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well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
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strategy and organizational structure of the program in close collaboration with the Scientific Directors Prof. Jan Ellenberg and Prof. Mathias Uhlén. Coordinate and monitor research activities, recruitments
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, and spatial genomics. Supervision by leading scientists: Prof. Sven Nelander, expert in systems biology and tumor modeling (Uppsala University; main supervisor) Prof. Rebecka Jörnsten, professor in
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) Stockholm and supervised by Assoc. Prof. Stefania Giacomello. Supervision: Stefania Giacomello is proposed to supervise the doctoral student. Decisions are made on admission What we offer Admission
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background in cancer biology and an interest in integrating experimental work with data analysis. For more details about our research and lab, visit: www.alundberg.org Supervision: Assist Prof. Arian is
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Supervision: Assist Prof. Arian Lundberg proposed to supervise the doctoral student. Decisions are made on admission What we offer Admission requirements To be admitted to postgraduate education (Chapter 7, 39
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical