53 mathematical-analysis-math-physics Postdoctoral positions at Technical University of Denmark
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conditions including psoriasis, hand eczema, and actinic keratosis through advanced stratum corneum nanotexture analysis. We are looking for an exceptional candidate with expertise in instrumentation
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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in using TRNSYS or IDA ICE is an advantage). Previous research experience in statistical analysis, data-driven modelling, and machine learning for indoor environment and building applications is an
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development Structure–function analysis of enzymes Project coordination and team collaboration Scientific writing and publication As a formal qualification, you must hold a PhD degree (or equivalent). We offer
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Job Description Do you want to make a difference by developing “cow-free” milk ingredients? If you excel within heterologous expression in bacterial systems and you are looking for the best place to unfold your skills, we have just the right job for you. Within the next 25 years the world’s...
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to relevant external sources. By enabling data interoperability across facilities and process units, this infrastructure will allow real-time coordination, intelligent scheduling, resource sharing, and improved
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-driven analysis and modeling. These are interdisciplinary positions that combine environmental engineering, materials science, and sustainability assessment. We are looking for motivated and forward
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machine learning for transport simulation. A core innovation involves Bayesian metamodeling techniques to construct fast surrogate models of the simulation space, enabling efficient scenario analysis
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forefront of fiber and quantum photonics. At DTU Electro, you will take a central role in the experimental demonstration of third-order spontaneous parametric down-conversion (TOSPDC), a process capable of
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers