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carbon, nitrogen, and water flows in agroecosystems. A solid background in uncertainty quantification, applied statistics, Bayesian calibration, and Monte Carlo simulations. Strong skills in scientific
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for, or whether you wish to be considered for both. Position 1: Physics-driven thermal design and optimization The objective of this position is to develop an optimized cooling system design that satisfies thermal
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informative but also pose significant privacy risks. Your work will focus on developing and studying privacy-preserving methods, such as differential privacy, Bayesian privacy, federated learning and synthetic
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, and investigate their RNA cargo, cellular uptake, and intracellular trafficking in recipient cells. The work spans biochemical and molecular characterisation using single-vesicle tracking, nanoparticle
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sensing technologies (camera, Electromagnetic tracking system, FBG sensing) with continuum robotic systems and development of associated sensing and estimation algorithms 3D environment reconstruction based
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of Copenhagen Questions For further information please contact Tenure-Track Assistant Professor Anniek Lubberding ([email protected] ). Foreign applicants may find this link useful: www.ism.ku.dk
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computer science, explainability is mainly evaluated through data-driven metrics. While they provide some insights for developers, it is unclear whether existing metrics track any ethically relevant properties
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in the department is approximately 80. This includes about 45 faculty members (professors, associate professors, tenure track assistant professors), 7 administrative staff members, and 30 members
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organisations and institutions Furthermore, applicants who can document the following will have an advantage: a basic understanding of the Danish VET system a track record of research publications of a high
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strategies and market positioning. Job description The successful candidate is expected to contribute to the overall objectives of the project by being involved in design, implementation, data collection, and