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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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fungal ecology, (meta-)genomics, bioinformatics, and multivariate statistics. Experiences in forest ecology and biogeochemistry are welcomed but not required. You are highly self-motivated and committed
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if required. Proven ability to independently plan, execute, and troubleshoot NGS experiments. Strong multitasking skills with the ability to manage and prioritise multiple parallel tasks effectively
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research, or a related field is a must • Proficiency in bioinformatics or clear motivation and prior exposure; HPC and metagenomics pipeline experience preferred • Experience with next-generation sequencing
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often assume an exemplary character, aiding epistemic and learning processes. They fulfill evidential, didactic, and symbolic functions, and thereby produce different forms of knowledge. Relevant topics
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for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
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the key processes, actors and cultural accommodations that drove unprecedented levels of natural resource consumption in industrial societies in the 20th century. Offering an innovative new material history
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are provided with a desk, access to IT and library infrastructure as well as a computer if required. Since the Collegium cannot provide laboratory infrastructure or studio space on site, early-career fellows can
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innovative deposition processes and high-throughput materials screening. The opportunity: Contribute to groundbreaking research on UV-resilient transparent conductive materials for photovoltaic technologies
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral