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optimizing simulation tools such as CalPhad to support experimental findings. Conducting in-depth metallographic analysis and establishing correlations between mechanical properties and microstructural
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied
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research on plasma deposition of functional materials on textiles. Conduct research on plasma-based deposition of functional topcoats for engineered textiles. Develop and optimize plasma deposition processes
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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background and interests. Candidate Profile We are looking for candidates who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial
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of expression systems Metabolic flux analysis for pathway characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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DTU Physics seeks a talented and motivated postdoctoral researcher for a 2-year position in computational nanophotonics. The goal is to use inverse design, such as topology optimization
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neural networks under symmetry constraints, their optimization dynamics, and their generalization behavior—particularly in low-data or out-of-distribution settings. The work combines formal theoretical
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experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene editing protocols for ELANE for therapeutic use Evaluate safety, efficacy, leukemogenicity and off-target effects