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Bioinformatics with at least one first-author publication, accepted or submitted Experience with machine learning will be a plus (e.g., Tensorflow/Keras/PyTorch). Experience with software containers and/or
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involved in or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work
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: Extensive experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and
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to reduce transmission and ease the global disease burden. Our research is at the leading edge of translational vaccinology, aiming to define the key immune mechanisms that confer protection against HCV and
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., 2023, Can Res., Schumann et al, 2023 J Exp Med., Marinkovic et al., 2025 Can Res). In continuation of this work, we are trying to define and understand how nucleic acid sensing is regulated in the steady
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. The postdoctoral researcher will have the opportunity to: Study the principles of plant cell adhesion and tissue biomechanics. Use microscopy image processing tools and software. Use, refine and develop finite
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initiative. Your role will support the modelling, simulation and analysis of non-electrical infrastructures—namely gas networks, hydrogen pathways, and thermal systems—within integrated multi-vector scenarios
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the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups. We offer a multifaceted scientific project
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., 2023, Can Res., Schumann et al, 2023 J Exp Med., Marinkovic et al., 2025 Can Res). In continuation of this work, we are trying to define and understand how nucleic acid sensing is regulated in the steady
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collaborations. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups