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-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
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, mathematics, physics. You will participate in designing the project according to the overarching goals of the lab and you will be responsible for the implementation. We are an interdisciplinary lab and you will
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Management, Mechanical Engineering, Risk management, or equivalent, specialising in Logistics or Supply Chain Management. Experience of and/or education in quantitative research methods and mathematical
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of Computing Science , Mathematics and Mathematical Statistics , Molecular Biology , Plant Physiology and Clinical Microbiology . More information regarding accessible research infrastructure can be found here
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consultations with the successful candidates, based on where their research best fits. Potential host departments include Department of Computing Science , Mathematics and Mathematical Statistics , Molecular
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consultations with the successful candidates, based on where their research best fits. Potential host departments include Department of Computing Science , Mathematics and Mathematical Statistics , Molecular
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structures, etc to solve challenging problems is required (there will be a practical coding assessment during recruitment) A solid mathematical foundation is required (multivariable calculus, linear algebra
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Postdoctoral Position: Analytical chemistry of human breath for diagnosis of blood groups and disease-causing pathogens We seek a motivated postdoctoral researcher for a new project on breath-based diagnostic tools for blood groups and disease-causing pathogens, and how disease-vectoring...
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different aspects of evolvability – the ability of organisms to evolve. We are interested in developing computational and mathematical tools to understand and quantify evolvability while exploring its
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interactive multinational and multidisciplinary teamcovering expertise in molecular biology, cell biology, neuroscience, regeneration biology, mathematical modelling, and robotics. The fundamental questions