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University Faculties Study Research Facilities International You are here: Home The page could not be found Possible reasons: You made a typing error. The page has been deleted or renamed. Back to the homepage
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equivalent degree in agriculture, biology or any related field. You are an early career researcher not more than one year after your PhD and you have a proven track record and extensive experience with genetic
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Wohlleber is looking for a Post-doctoral researcher to investigate the regulation and dynamics of CD8 T cell immunity and identify mechanisms or pathways that will decide whether an HBV infection will develop
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competitive dynamics between cell nuclei and how their interaction leads to emergent organism-scale behaviour. You will perform fluorescence microscopy on nuclei populations and quantify their dynamics while
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the applicant) - A declaration from the hosting PI confirming commitment to funding the applicant for two years at 50% - A letter of recommendation (not from the hosting PI) Application Deadline: April 13, 2025
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Computational Pathology is preferred. A strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Proficiency in Python, TensorFlow/PyTorch
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-to-abate sectors, but it is not yet economically viable in most cases. This postdoc position investigates the impact of different financing schemes (e.g., public, private, blended) on the feasibility
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(a limited liability company) with a non-profit character and one of the largest non-university institutions of its kind in Germany. We are looking for a PostDoc/Senior Researcher (f/m/d
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are looking for a Post-Doc (TVL E13) to join our team. Medical images provide wide opportunities for studying diseases. Yet, images alone are often not sufficient but the integration of adjunct data sources is
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strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Fluent familiarity with at least one coding language for ML or data analysis