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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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are initially limited to three years. The Microbiome Dynamics (MBD) department contributes to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and
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and/or nanofabrication being a plus. Who we are The Department of Physics and Astronomy is a department on Natural Sciences. The main objectives of the Department are to carry out research
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of the ubiquitin system that drive its dynamic interactions. Objectives. The post-doctoral fellow will work on the development of a robust detection pipeline for sub-single-cell proteomics. Training and research
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to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism
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is available for two years from October 2025 with possibility for extension. The main research objective is the exploration of non-photosynthetic sources of oxygen in oxygen-depleted waters, so called
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. Ability to work independently, think analytically, and approach tasks systematically while maintaining a clear focus on objectives. Adaptability and ability to communicate in a constructive and respectful
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documentation Work collaboratively with other within the School of Biosciences Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing
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, Carbon Capture & Storage, Hydrogen & Energy Storage, Hydrogen Economy, Economics, Business Administration, Management, and Finance. Discover more about our research centers and our research strategy
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-ecological modeling (24 months, 100%), you will fill a central position to reach important objectives of the project. Equal opportunity is an important part of our personnel policy. We would therefore strongly