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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
analysis from high-throughput sequencing projects, employing in-vitro, preclinical and clinical studies. This position involves designing and executing experiments, data management and analysis, manuscript
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empirical and computational models to understand social learning. You will have the opportunity to develop your own research ideas under supervision. Your responsibilities include designing and conducting
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interdisciplinary department, which focuses on questions in basic and medical sciences and provides an interactive modern environment with good core facilities. Umeå University is one of Sweden’s largest higher
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of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical
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project is led by Professor Tora Holmberg. The person who receives the position will be supervised by the project manager but work independently and has great opportunity to influence and design the project
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involved in the commercialization of the methods, as we are on the path to founding a company. Tasks will therefore include interacting with collaborators from industry and public agencies. Qualification
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high