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to develop a novel instrument for near real-time detection of airborne pathogens. The position is part of a collaborative and interdisciplinary project involving the Swiss Tropical and Public Health
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a novel instrument for near real-time detection of airborne pathogens. The position is part of a collaborative and interdisciplinary project involving the Swiss Tropical and Public Health Institute
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transient cellular events into DNA and reads them out by sequencing. Computational challenges include detection of biological signals while applying Record-seq to complex in vivo environments (Schmidt
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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and NETs. In particular, our project focuses on two main objectives: First, we will develop a net-zero roadmap for the Swiss chemical and pharmaceutical industry, which is currently missing. Second, we
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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of this position is to establish advanced in vitro simulation models for vascular grafts to assess the performance of nanoengineered antimicrobial and antifouling coatings. Key objectives include: Development
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establish advanced in vitro simulation models for vascular grafts to assess the performance of nanoengineered antimicrobial and antifouling coatings. Key objectives include: Development of an in vitro model
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hydrogen detection: development of a field-deployable electrochemical method, benchmarked against lab-based approaches. Area 3 (Contact Person Dr Andreas Borgschulte ) Hydrogen permeation in model systems
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. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are