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documents. The first interview and task assignment. The second interview and assessing the completed task. Additional comments PhD topics PhD-A: Optimized IoRT network for enhanced data quality of IoRT
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, mathematical optimization, laser physics, integrated photonics, condensed matter physics, and spectroscopy. If you are passionate about advancing nanophotonics through cutting-edge research, we warmly encourage
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with a second doctoral researcher to optimize the architecture of fiber sensors, fostering synergistic innovation and breakthrough advancements. Optical fiber-based sensing stands as a cornerstone
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
-accessibility and bioavailability for folate. The project will, first, involve a survey of folate contents of a variety of fermented foods and algae by stable isotope dilution assays (SIDAs) and optimize
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on holistic understanding from regional net-zero. The PhD project is part of the Regional Energy, Carbon and Land Management initiative, focusing on optimizing energy infrastructure, land use and carbon flows
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scientists, the direct PhD supervisor and a co-supervisor. BIGS DrugS aims at creating an optimal research and education environment for PhD students and provides support for a successful scientific career
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Pharmaceutical Roundtable. In this project we will employ deep learning-based protein sequence design tools to deliver biocatalysts for peptide synthesis. These designed enzymes will be further optimized using
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, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in
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plants with material co-production in energy system optimization models including, e.g., reservoir productivity predictions, novel surface processes for CRM extraction, CO₂ reinjection, and reconversion
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development of early warning systems, risk assessment of pathogens; optimization of the calculation of disease burdens, visualization of complex correlations, Big Data analyses, automated analysis of high