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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
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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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factor – DNA binding, detecting protein – protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or preferably multiple, of the following
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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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at the forefront of several research areas and generated multiple spin-off companies also located at Medicon Village. You will be part of a research team dedicated to developing precision medicine tools for cancer
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through a collaboration between four Swedish universities: Karolinska Institutet (KI), KTH Royal Institute of Technology, Stockholm University (SU), and Uppsala University (UU). Our mission is to develop
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how chemical exposures contribute to the burden of disease and environmental degradation, supporting the development of science-based strategies for risk assessment, public health, and environmental
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://nbis.se) is a large national infrastructure in rapid development providing support, tools and training to the Swedish life science research community. NBIS constitutes the bioinformatics platform