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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking
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, the focus is on utilizing model-based computational technology to study and solve advanced separation problems. The assistant professor position will be part of the advanced process engineering group. We look
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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simulation, energy efficiency, and tool development. We offer interesting and challenging tasks at the forefront of research in a flexible work environment. The tasks include supporting 3D modelling in Rhino
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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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the context of this position, we will focus on understanding the functional basis of interactions between hosts and their co-infecting viruses in multipartite model systems. We also will develop other host
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and disruptive business models, informatics’ logic for systems- and business development, digital platforms and digital eco-systems, and digital sustainability. The duties also involve course
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interdisciplinary, applied research with expertise in visualization, design, computer graphics, and the learning sciences. The research nexus for the division is the Visualization Center C, a unique science center in
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remote brain areas in vivo in animal models that underlie plasticity in the prefrontal cortex of mice. We will focus on neuronal micro- and macro-circuits that influence our feeding behavior, which