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knowledge in protein purification, biophysical and biochemical characterization of proteins, and genome engineering • You should have some experience in external funding acquisition (research fellowships
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research articles, project proposals, and other research-related outputs Support administrative and outreach tasks related to the project Your Profile: Background in geography, geotechnical engineering, or
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(prae doc), for a period of 4 years, focusing on process mining. The selected prae doc will become part of the Research Group Workflow Systems and Technology (WST) at the Faculty of Computer Science and
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losses. The approach leverages compartmentalization to isolate engineered pathways, concentrate substrates and enzymes, and protect the cell from toxic intermediates. Your future tasks: You actively
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(or equivalent qualification) in neuroengineering, computer science, mathematics, electrical engineering or a related field Strong analytic skills and experience in signal processing and machine learning Excellent
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interdisciplinary and international team closely working together with colleagues from different medical universities, biomedical engineering and radiochemists. We are enthusiastic about neurochemicals acting as
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and graph learning frameworks such as PyTorch, PyTorch Geometric. Knowledge in the field of drug discovery/molecular property prediction and recommender engines (especially using graph learning methods