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(Science for Life Laboratory) Stockholm and will be supervised by Associate Professor Stefania Giacomello. Supervision: Stefania Giacomello is proposed to supervise the doctoral student. Decisions are made
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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for molecular life sciences High level of autonomy and responsibility Read more about what it’s like to work at KTH and our benefits . Qualifications Requirements Extensive executive-level assistant experience
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Spatial Biology Our laboratory has recently been awarded an ERC Synergy grant
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Uppsala University, Department of Medical Sciences Are you interested cutting-edge genomics technologies and eager to contribute to developing methods at the forefront of life science? We
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
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, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
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standalone open Biology courses, a natural science preparatory year, and the industrial engineering and management program with a focus on biological resources and sustainable use. You can read more about the
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evidenced by recent publications in e.g. Nature Biotechnology – and also provides a stimulating environment for learning computational biology. The successful applicant will in furthermore receive training
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KTH Royal Institute of Technology, School of Engineering Sciences Subject field Advanced Light Microscopy. Subject description The subject covers the development and application of innovative