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Field
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of the acquired knowledge to develop manufacturing guidelines for organic solar cells with high long-term stability using high-performance polymers and non-fullerene acceptors (NFAs) (Task 3.3). JUSTIFICATION
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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leading European experts in photonics, microfluidics, nanofabrication, and theoretical modelling Analyze and interpret experimental results to optimize device performance and functionality Participate in
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developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware
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innovative formulation strategies for lipid-based drug delivery nanoparticles, with a particular focus on the design and optimization of externally triggerable lipid nanomedicines. Combining molecular modeling
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to maintain the tunnel stable. At depths of several hundred metres, validated design guidelines for this combination of challenges do not yet exist, which limits optimal decision-making. This PhD
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or digital twins is considered an asset. You have strong programming skills in Python and/or MATLAB
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factors, and travel speed, while also studying resonance behaviour and determining the optimal excitation frequencies for maximizing signal-to-noise ratios. Write a doctoral dissertation, publish results in
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theoretical knowledge and background in molecular biology and related methods is required Knowledge in immunology and bioinformatic skills, as well as experience with high-throughput sequencing data generation