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nanocrystals, hybrid perovskites and 2D materials. Development of new data-driven approaches for studies of optoelectronic properties using EM, including machine learning / machine vision algorithms. The balance
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advantage. Good communication and teamwork skills. Self-motivation, initiative, reliability, and willingness to learn new techniques and approaches. Very good command of written and spoken technical English
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applicability. By bridging machine learning, behavioural science, and clinical research, the project seeks to establish foundational methods for trustworthy agentic AI systems that can be deployed across diverse
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. Although AI is increasingly being used to support the learning of productive language skills, empirical evidence regarding its effectiveness in foreign language education remains limited. In this project, we
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hiring a doctoral candidate on the subject "Foundation AI models for distribution systems decision-making ". Foundation models have recently emerged as a new learning paradigm in AI. These models learn
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | about 2 months ago
or Nextflow, or a strong willingness to learn • Enthusiasm for interdisciplinary research and learning across scientific domains • Initial experience in interdisciplinary collaboration is a plus • Self
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all individuals, regardless of gender, origin, nationality, or minority background. Where to apply Website https://warsaw4phd.eu/en/admissions/ Requirements Research FieldChemistry » Organic
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. We highly value collaboration, teaching and outreach. To learn more about our team, we invite you to visit our website: https://klimadynamik.univie.ac.at/ . Ready to be part of our team? Let’s shape
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our commitment Helmholtz Munich Deutsches Forschungszentrum
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highly value collaboration, teaching and outreach. To learn more about our team, we invite you to visit our website: https://klimadynamik.univie.ac.at/ . Ready to be part of our team? Let’s shape