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, superconductivity, cryogenics, or microwave electronics. Additional experience beyond the PhD is not required. US citizenship is not required. What we offer State of the art on-site high performance/GPU compute
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, reproducible data handling and analysis workflows in R and/or Python; author reusable packages and pipelines Collaborate across DKFZ programs; co-supervise students; contribute to grant applications Publish in
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program and a broad range of other research activities. Successful candidates will have the freedom to work with the research groups of Roderich Moessner, Marin Bukov, Ashley Cook, Libor Šmejkal, and
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. occupational pension plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of part-time work Family-friendly working environment Sustainable travel to work
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. occupational pension plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of part-time work Family-friendly working environment Sustainable travel to work
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natural and AI-designed protein domains, along with an engineered fusogenic protein. The technology has been recognized with the m4 Award, the GO-Bio next program, and is currently under revision in a top
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of acute myeloid leukemia (AML), understanding how the rewiring of chromatin landscapes contributes to the development and maintenance of malignant programs. The final aim of our studies is to translate our
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). This project is funded by the DFG priority program SPP2474, which aims to discover new gene functions in human microbiome members (see https://spp2474.de). More information about ongoing research in
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conditions: state-of-the-art equipment and opportunities for international networking at the highest level Remuneration according to TV-L incl. occupational pension plan and capital-forming payments 30 days
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
to work in a collaborative multidisciplinary environment # Excellent programming skills in languages such as Python, C/C++ and CUDA # Familiarity with modern deep learning frameworks like Tensorflow 2.x.x