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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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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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-, immunoglobulin downstream signaling involved in an inflammatory and metabolic network. Functional immune cell / phenotypic / response output assays and biomarker detection /identification in vitro and in vivo
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a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair
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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