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aims to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and
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Identification of genomic and transcriptomic genetic biomarkers associated with Myotonic Dystrophies
Università degli Studi di Roma Tor Vergata - Dipartimento di Biomedicina e Prevenzione | Italy | 22 days agounderstood. The aim of this project is to optimize the molecular diagnosisi of DMs using innovative technologies (thrid-generation sequencing), characterize genotype-phenotype correlations, and identify non
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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on conventional polyurethanes (PUs) and their potential future substitutes, non-isocyanate polyurethanes (NIPUs). In this context, the main objectives of the work plan are: optimization of the depolymerization
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at the development and optimization of sustainable biocatalytic strategies applicable to the recycling of plastic materials. Within the scope of the work plan, the selection of appropriate enzymes will be studied, as
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the Purcell effect, which in the optimal case will allow for indistinguishability of emitted photons. Candidate should have MSC title from physics, material science or chemistry: Knowledge of nitride micro-LED
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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
cells with improved energy and power density, longer lifetime, and maximal safety. Find out more about our mission and future-oriented projects here: https://www.fz-juelich.de/en/iet/iet-1 We
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the optimal case will allow for indistinguishability of emitted photons. Candidate should have MSC title from physics, material science or chemistry: Knowledge of nitride micro-LED processing will be required
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and / or modifies clean, well-structured, search engine optimization-friendly documented code Provides technical expertise in front- and back-end web development Supports web infrastructure by providing
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partners, and other national laboratories. Objective: Enhance THAPI: Extend and optimize the THAPI profiler (https://github.com/argonne-lcf/THAPI ) to concurrently profile AI/ML and ModSim components