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doctoral institution in Romania, · Bachelor's and Master's degrees in physics, Specific Requirements · Minimum 2 published ISI scientific papers, · Experience in data analysis/statistical physics
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work on crypto-asset transaction analysis - at the intersection of data science, blockchain technology, and financial crime prevention from an Anti-Money Laundering and Countering the Financing
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and Innovation, the successful candidate will work on crypto-asset transaction analysis - at the intersection of data science, blockchain technology, and financial crime prevention from an Anti-Money
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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Engineering or related disciplines•High competency in data analysis, numerical modelling, and programming•Strong written and oral communication skills•Relevant background in experimental geotechnics is desired
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carry out experiments using state-of-the-art methods Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own
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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI
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characterization and fingerprinting. design and execute experiments to trap single proteins. perform in-depth data analysis and pattern recognition to extract protein properties from electrical current reads