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60%-80%, Zurich, fixed-term The Laboratory of Ecosystems and Landscape Evolution (ELE) and the Genome Engineering and Measurement Lab (GEML) at ETH Zurich are seeking a laboratory technician to join
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between 2026 and 2029 and includes experimental campaigns, field installations and data collection, data processing, algorithm development and system optimization. Job description Experimental Campaigns and
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data collection, data processing, algorithm development and system optimization. Job description Experimental Campaigns and Sensor Evaluation: Design and analysis of controlled test explosions in
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) and UZH (Leippold, Vaghefi, Colesanti Senni) to align AI development with climate science research questions Participate in CLIM+ programme activities, workshops, and cross-project initiatives
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responses, and institutional implications. Core responsibilities include: Studying judicial decision-making and legal reasoning in the presence of AI tools Contributing to the development of experimental
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collaboration with courts, combining cutting-edge AI research with impactful societal applications. Job description The doctoral researcher will focus on the development and evaluation of AI-based research
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universities, research institutions, and museums in a highly collaborative network, supported by the Muoniverse Research School, which coordinates training, exchanges, and career development for PhD students and
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GNSS-based research within our group and support existing projects related to GNSS and PNT. Key responsibilities include: Software Development: Developing GNSS software using Factor Graph Optimization
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Neuroanatomy, and using model systems relevant to human development or disease. You will also be expected to secure competitive research funding and publish high-quality papers in your field. Alongside your
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Membranes and Textiles laboratory, interdisciplinary teams work on the development, integration and validation of novel sensing systems - particularly for textile applications. The focus lies