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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
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, experimental data bases and materials data bases together with novel AI tools. Where to apply Website https://auspire.eu/research-team/icn2-pf1-call-2/ Requirements Research FieldChemistryEducation LevelPhD
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consortium meetings will also be required, ensuring coordination across multidisciplinary teams and high-quality project execution. Where to apply Website https://www.idissc.org/bolsa-de-trabajo/ Requirements
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of strongly-correlated materials, quantum magnets, and might hold the key of high-temperature superconductivity. Investigating its low-temperature many-body phases is extremely challenging using classical
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microbiome field and will be able to identify novel and/or important questions to address with our HS rat data. They will be keen to interact with other team members, including PhD students and