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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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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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cells and proteins. Our research is in close collaboration with academy, health care and industry both nationally and internationally. Duties Within this project you will plan, design and perform research
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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
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: Structural integrity of materials is of primary concern in sustainable mechanical design, as more durable products impose longer product lives and allow the usage of less material. Accounting for structural
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with various disease states. There is also strong research in method and technology development, including the design and synthesis of small organic molecules and biological macromolecules. Development
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period of guest researcher time at the University of Inland Norway (INN), with office at Evenstad campus, Norway. Length and time plan of the exchange will be determined together with the candidate
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mechanobiology. Detailed description of the work duties: You will be responsible for designing, planning, and performing experiments, including tomography and mechanical testing. You will be responsible
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, At least one original publication in a peer-reviewed journal, A background in the relevant methods, A complete application package submitted through the AMBER portal (including CV and detailed research plan