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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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access to excellent facilities and competences for synthesis, characterization and modelling. Responsibilities and qualifications Your tasks will primarily encompass: Nanoparticle synthesis and surface
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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optoelectronic platform for in vivo monitoring of brain organoids allowing for modeling of the diseases. The platform consists of two or multiple compartments which allows to monitor interactions between organoids
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, analytical chemistry, neuroethology and collective animal intelligence to develop predictive models on honeybee behaviour in response to chemical cues. If you care about biological diversity, sustainable
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, through developing predictive models and new experimental methods and instrumentation, to design creative and cost effective CO2 trapping processes. The need is urgent, the task is challenging and a
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writing scientific papers. The developed models will be tested on data from energy investment models, as well as transport infrastructure problems. We will be an academic team of three PhD students and four
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performs theoretical, numerical, and experimental research in the field of manufacturing engineering. It covers a wide range of manufacturing processes and modelling approaches, metrology at all scales