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challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,500 employees in one
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strategies targeting R-loop-associated malignancies. See also https://www.imb.de/wang For a more detailed description of the project including relevant literature, see here[pdf-Datei] . This PhD position
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Description The following position is available immediately in the Experimental Toxicology an ZEBET department of the Federal Institute for Risk Assessment (BfR), subject to the allocation of funds
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spoken) Independent and solution-oriented work ethic Interdisciplinary mindset and enthusiasm for teamwork Ability to work in a multi-cultural, multi-ethnic environment with sensitivity and respect
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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Institute for Risk Assessment (BfRshort forGerman Federal Institute for Risk Assessment) Tasks As part of funding from the Federal Ministry of Education and Research, the BfRshort forGerman Federal Institute
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). Balancing family and career is an important issue. The positions are generally suitable for candidates seeking part-time employment. Please indicate your request in your application. The work is being done
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD). Tasks: The successful
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methods on identical locations, to investigate their structural, morphological and functional properties. Able to work independently, in a team and collaborate with other researchers and mentor junior