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. The solution will rely on nonlinear optimization and generalized non-linear mixed-effects models. Method development will be the main part of the project, but exploration and validation of the developed
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shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. On the other hand, the numerical
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, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
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numerical calculation skills and mathematical modelling skills Strong skills in solid state physics and quantum mechanics Experience in theoretical modelling and experimental investigation of optical devices
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Germany. This unique range creates an optimal setting for individualised and interdisciplinary studies. University location Heidelberg's cosmopolitan and student-friendly atmosphere is one
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to evaluate the progress of the doctoral research project. Excellent Conditions Our aim is to create an optimal research environment for doctoral researchers and to provide you with every possibility
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. Possibility of finding part-time employment Job opportunities for students alongside their studies are numerous. Depending on personal and professional skills, students can find jobs in the service sector (e.g
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optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
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environmental inputs, algae physiological parameters and microbial community eDNA data to develop predictive mechanistic models which can be utilised to develop an optimal cultivation strategy. The project is
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sustainable aviation fuel (SAF), and importantly, hydrogen. Plastics are comprised of numerous polymers, thus the products of each vary through chemical recycling processes This project seeks to develop an in