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ecosystem that supports a safe, equitable, and sustainable approach to tackling AMR. Anchored in Science and Technology Studies (STS) research perspectives, ALTERBIOTIC analyses the entanglements and the
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in the context of the successful completion of your thesis. Requirements: You are enrolled in the doctoral programme of DSPL45 and a doctoral student member of VISESS who agreed to the Code of Good
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for precise interventions in the human microbiome and thus create the basis for chemical microbiome engineering for the future. Our international team is characterized by open, respectful cooperation, excellent
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: 06/20/2025 Laboratory & Technology
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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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(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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(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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: Human-Computer Interaction, Data Visualisation, Data Science, Information Science, Science and Technology Studies, Communication Science or a related field Methodological competence: First experience with
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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