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Field
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optimization, evolving error correction techniques, and applications. We use locally hosted quantum computers based on superconducting technology in our experiments as well as the resources of our national
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for theranostic applications. Develops and optimizes bioconjugation strategies for peptides, antibodies, proteins, and small molecules. Performs analytical characterization using techniques such as HPLC, LC-MS, NMR
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cuantitativo. Capacidad para trabajar con grandes conjuntos de datos y entornos computacionales. / Experience in data science, data management and optimization, and machine learning and AI techniques. Strong
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to provide an optimal context for pursuing research toward publications. Consequently, while Fellows have the option of teaching a course in their areas of expertise, teaching does not constitute a requirement
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will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties and responsibilities include Optimization of single-cell sequencing workflows
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photonic quantum sensing and computing. Experience with control electronics, data acquisition systems, machine learning and AI for control and optimization of experimental apparatus. Experience with vacuum
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. Develop and optimize genome and epigenome editing workflows in neuronal or neural progenitor systems. Generate, analyze, and interpret multi-omic datasets (e.g., RNA-seq, ATAC-seq, ChIP/CUT&RUN/CUT&Tag
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optimization. You enjoy hands on laboratory work, iterative troubleshooting, and mentoring junior researchers. You are collaborative, organised, and committed to producing high quality scientific outcomes. About
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the fabrication process Your Role: Develop & test acoustic metamaterial concepts for Megahertz frequencies Conduct numerical simulations of sound fields at the unit cell and device level Optimize geometries
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. This position will focus on designing, optimizing, and implementing chemical biology and sequencing-based approaches to better understand how RNA structure and dynamics influence protein recognition