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27.06.2025, Wissenschaftliches Personal Doctoral reseracher with reserach focus on the modeling and simulation of the airside operations at an international airport. The project target is to build
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may ultimately inform the identification of potential targets for resistance breeding in the future. Our group focuses on the role of RAC/ROP GTPase-mediated signalling at the plant–fungus interface and
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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scientific texts aimed at diverse target audiences (e.g. researchers, the general public, stakeholders, regulatory bodies) • Support IBMI operations, public relations, and marketing activities Your Profile
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(HARMONY). The selected candidate is expected to review existing literature, conduct focus groups with young adult social media users, and contribute to an analysis of health-related media content targeted
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the possibility of an extension. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and
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towards circular bioeconomy and sustainable development. Effective (organic) waste management and renewable energy supply are essential in our present society, as they meet the targets of the European Green
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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candidate will show in-depth methodological and applied knowledge in the field of machine learning, especially deep learning, experiences in the area of uncertainty quantification, generative and Bayesian
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directly in the future topic of energy transition THE PROJECT The GeoBOOST projects aims to assist the growth of geothermal heat pump markets in targeted regions by assisting the development of robust