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Field
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, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements Understanding structure-property
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district energy systems, both commercial and open-source; Optimization of building energy consumption, both electrical and thermal; Modelling, optimization and/or control of either buildings or energy
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integration. Investigate how traction grids can support high-power charging at construction-sites though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy
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Ricerche within the project “EYA - Energy–hYdrogen Adaptive Optimizer” (CUP G49J26000320004) and the Italian Ministry of Enterprises and Made in Italy (MIMIT), within the the project “Smart Scouting – LIA2S
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(written and spoken). Specific Requirements Key responsibilities include: Design, optimize, and execute high-throughput cell-based phenotypic screening strategies to biologically evaluate novel compounds and
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analyze single-cell RNA sequencing (scRNA-seq) datasets using biostatistical and bioinformatics approaches. Conduct molecular, cellular, biochemical, and immunological analyses to support research
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. Empa is a research institution of the ETH Domain. Empa’s Laboratory Materials for Energy Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies
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. Analyzes gene and amino acid sequences of bacterial proteins. Deletes genes in streptococcal bacteria. Assists with writing grant proposals. Performs bacterial cell culture, CRISPR-Cas9, intracellular
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Epitranscriptomics projects aimed at investigating the functional roles of RNA post-transcriptional modifications (rPTMs) in the cell response to viral infections and other types of stresses. Highly motivated
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immunotherapy, with particular emphasis on lung cancer. The incumbent will independently conduct molecular, biochemical, and cellular biology experiments, bacterial and primary cell culture, and in vivo animal