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team players. Our working style is onsite-based, fostering close interaction and synergy amongst colleagues. If you are eager to contribute to transformative research at the interface of machine learning
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, are fundamental. Experience in using GNN ML tools and assembling a digitalized materials database is needed. Scale up skills and ability to communicate with the industry required. Ability to carry out research
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Qualifiations The applicant must have: PhD in plasma physics Experience abroad or in industry Extensive experience in experimental plasma physics Solid expertise in optical or laser spectroscopy Ability to
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, • active command of English (ability to communicate fluently in an international environment, present results at conferences, and independently write scientific papers), • basic knowledge of metrology and
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electrodes to improve the power density and energy efficiency of redox flow batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e
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, creative thinking, and proactive problem solving Ability to collaborate effectively with a diverse team of researchers and students Openness to engaging with international research Eager to learn and share
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to the sub-group. Themes might include: the acquisition of productivity of morphological rules; the interaction of linguistic universals and statistical properties of the input in L2/Ln acquisition; linguistic
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, or the role may be specified in the article text) Ability to conduct independent scientific research. Ability to collaborate on complex scientific, research, and development tasks within a research team