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environments; experience coordinating complex workflows (e.g., between wet lab, proteomics and dry lab) and maintaining structured project documentation. The lab places strong emphasis on teamwork, where
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cognitive science, psychology, computer science, computational social science, consumer research, behavioural economics, complexity science, or another relevant discipline. We envision that you at minimum
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published in international peer reviewed journals. Understanding of the atmosphere and its modelling is essential. • Model development of WRF-Chem is complex. Documented experience using FORTRAN, C
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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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of battery test data and you are comfortable working systematically with complex technical problems. Experience with industrial collaboration and battery management systems will be an advantage, as
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analysis and you are comfortable working systematically with complex technical problems. Experience with industrial collaborations and working with EU granted projects will be an advantage, as will a
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control structures and advanced control methods and are comfortable working with mathematical models of complex technical processes. Experience with modelling of thermo-chemical or process systems
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for postdoctoral fellowships in computer science with emphasis on the area of formal methods, in connection with topics that include (but are not limited to) computational complexity, distributed systems, human
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involving environmental and biological samples, especially soil and plant-associated microbiomes. The candidate must have experience in analyzing complex VOC datasets, including processing raw PTR-MS (e.g
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and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What we offer The successful applicant is offered: Access