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project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches
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electronic recruitment system, Varbi. Documents sent electronically must be in Word or PDF format. Log in to the system and apply via the button at the end of this page. The closing date is 2025-07-15. Contact
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computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher to contribute to our ambitious mission. Division The Division of Biomolecular and
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-of-the-art computational resources, enabling advanced simulations and modeling. Moreover, we actively collaborate with leading experts in laser diagnostics, automatic control, heat transfer, and life cycle
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund
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, the Knowledge Foundation (KK-stiftelsen) and industry partners have decided to support Mission 0 House with an additional program, with a budget of nearly 100 million SEK over a five-year period, starting in Q1
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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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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the duties. The overarching goal of this research program is to uncover fundamental molecular principles governing membrane protein function, particularly how interactions with subunits, auxiliary proteins
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leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU