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FGFR isoforms. Recent advances in AI-driven protein design offer new opportunities to revisit the long-standing challenge of selectively targeting FGFRs. The project will use state-of-the-art AI-based
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. Our research facilities include modern laboratories and state of the art equipment for protein biochemistry, library strains, microbial culturing, bioimaging, and high-throughput studies. Principal
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qualifications SelSiCELL must simultaneously improve both the photovoltage and the photocurrent compared to state-of-the-art c-Se solar cells - and ultimately - grow such high performance c-Se cells monolithically
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Job Description DTU Space is looking for a post doc to engage and strengthen their long-term activities in airborne gravimetry. The position involves both state-of-the-art research development and
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collaborators abroad, with access to state-of-the-art facilities for systems biology, genome engineering, and bioprocess development. Your primary tasks will be to: Design and perform adaptive laboratory
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for carbon cycling, ecosystem functioning, fisheries, and services such as CO₂ sequestration. Despite their importance, many of these processes remain poorly understood due to Greenland’s remoteness and
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performing educational research (mix-methods, surveys). Your primary tasks will be to: Implement full-stack applications, including an AI model in the back-end and GUI (in HTML); Deploy AI models both locally
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understanding of tumor heterogeneity, cell plasticity, and the tumor microenvironment in patients with renal cell carcinoma. We apply state-of-the-art sequencing and spatial technologies to explore tumor and
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these nanocomposites, we are looking for a postdoc to further develop high performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core
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industry partners across the REINS consortium to exchange insights on embedded AI design, real-time system performance, and safety-critical requirements, and will support the management of SDU-led work