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an electrolysis cell. In particular, stability will be assessed using accelerated degradation tests, and the structural and morphological evolution of the catalysts will be monitored via physicochemical techniques
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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of acaricides, and in vitro models to investigate the transmission of tick-borne pathogens. Job description: Independently conduct a research project focused on the development and optimization of artificial tick
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alloys and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
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. The project focuses on developing sustainable and optimized processes for the purification of industrial acidic and complex aqueous media through the selective removal and recovery of impurities to enable
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The Department of Biological and Chemical Engineering, Aarhus University, invites applications for a postdoctoral position on advanced modelling and optimization of pyrolysis plants integrated with
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. This allows us to shift from the standard imaging question of "what is the structure of this sample?" to "how does the structure differ from the known design?". The second question can be answered with far
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of acidic and aqueous media, impurity separation, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes
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responsible for chemical synthesis and design of molecules intended to be studied for biological use. This requires an ability to review the literature to optimize protocols, to carry out experiments
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of