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Field
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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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comprise different characterization techniques (e.g. solid-state NMR, low-temperature physisorption of nitrogen, dynamic light scattering, and electron microscopy techniques) to characterize the obtained
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spin-splitting of the electronic band structure due to their magnetic order (including the collinear altermagnets). Our goal is to provide a test of theoretical predictions in a selection of real
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include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data
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includes the PI, a PhD student, and a research expert in bioinformatics. The workplace fosters strong international collaboration, with close integration with the Halberg Group at Copenhagen University
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to mentor and supervise junior researchers, for instance through ESA’s Graduate Trainee programme. Technical competencies Knowledge relevant to the field of research Research/publication record Ability
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of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in ecosystem ecology, biogeochemistry, physical geography, or a related field. Past experience of synoptic surveys
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learning for dynamical systems, system identification and control systems. This can involve co-tutoring of PhD students or early R&D cooperative studies. contributing to the development of advanced benchmark
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success. Basic Qualifications: PhD in energy engineering, mechanical engineering, electrical engineering, industrial engineering, or a related field completed within the last five years. A strong foundation
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relevant to the field of research Research/publication record Ability to conduct research autonomously Breadth of exposure coming from past and/or current research/activities Ability to gather and share