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builds on our recent works (https://www.nature.com/articles/s41467-025-65282-1 and https://www.nature.com/articles/nature20605 ). Join our team in the https://pomplunlab.com and https
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optimization of organic, inorganic, and composite coatings Implementation and optimization of plasma deposition processes at low pressure and atmospheric pressure Characterization of compositional, structural
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Veterans Act) must invoke it and provide proofs. For veterans, proofs are listed at https://branitelji.gov.hr/zapošljavanje-843/843 . By applying, candidates consent to data processing under GDPR (EU 2016
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national and international partners and aims to develop sustainable solutions for future materials and chemical processes. Read more about our activities: https://www.slu.se/institutioner/molekylara
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surface reconstruction and functionalization, enabling greener and more selective fluorination processes for industries such as batteries, pharmaceuticals, and agrochemicals. The scientific theme centers
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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conduct collaborative research between the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS, https://cosmos.uta.edu/ ) and the Department of Chemistry and Biochemistry (CHEM) on the topic
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to design optimized growth media for animal cells lines used in biotechnology. This work involves the development and application of genome-scale metabolic models to characterize cellular growth and
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(UV-Vis, IR, Raman…), microscopies (TEM, SEM), electrochemistry, and other relevant physico-chemical techniques. Chemical process development: optimization of reaction conditions, analysis of yield and