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, photophysics, and numerical modeling. Molecular building blocks will be synthesized and used to construct COFs with predetermined architectures. The resulting materials will be characterized using PXRD, SEM
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implementation of numerical algorithms in advanced modeling and simulation software related to reactor physics analysis an asset. Ability to obtain and maintain a security clearance. Special Requirements
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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
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fluxes and acidification in global marine P cycling through a combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with our research
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applicable. Preferred Qualifications PhD in data science, and/or public health or related fields including health services research, health informatics, computer science. Experience in data analysis using
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace
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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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improving the security of modern computer systems. To do that, we often build novel analysis techniques to uncover previously-unknown attack surfaces and when appropriate we design and implement new systems
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experience with Linux is therefore also required • Candidates with a completed PhD degree before the interview date will also be considered • Documented research experience on numerical modelling
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 32,200 students and 9,540 employees, including numerous top researchers