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, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward to your scientific expertise in the Department
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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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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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of the research school will be able to get to know each other better (in a non-work setting). The research school will supervise and stimulate the scientific progress of PhD students by means of annual retreats
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of scalable 2D materials. The open positions are allocated to the projects P6 and P7 (see https://2d-mature.org/project-descriptions/ ) Start: fall 2025 Duration: 3.5 years Working time: 100 percent of a full
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of the hydrogen economy will also be part of your work. Further development of the detection concept for green hydrogen, particularly green hydrogen carriers Development and implementation of analytical methods in
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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 position is
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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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and work independently Excellent cooperation and communication skills and ability to work as part of a team Excellent skills in spoken and written English Our Offer: We work on the very latest issues
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and disease risk factors Investigate new approaches in the analysis of large neurophysiological datasets We are seeking a highly motivated candidate with: A strong master’s degree in psychology