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of inorganic and coordination compounds, including discrete complexes and related systems, using methods such as X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and
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study design, data analysis, manuscript preparation, presenting findings at international conferences, and mentoring students. Your competencies The ideal candidate has: A PhD in machine learning
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availability, for instance due to load balancing requirements. Model parameters will be continuously updated using measured and estimated data from the physical pilot plant, providing a foundation for
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criminology or a related field and experience publishing in international journals from criminology and related fields. Strong methodological competences and experience working with data collection and analysis
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interaction with colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the
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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some
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electromagnetic simulation tools, such as CST Studio Suite or Ansys HFSS, and you use them systematically as part of your design workflow. You also have practical skills in numerical modelling and data analysis