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and think analytically, critically, conceptually, synthetically and interdisciplinarily Strong social competence including interpersonal skills, teamwork and networking ability, and presentation skills
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competencies Applicants should have an excellent foundational knowledge of wireless communications, machine learning, signal processing, and information theory, complemented by strong mathematical and analytical
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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the future through relations with kin (family and acquaintances) and through encountering Danish institutions locally and Ukrainian institutions transnationally. The project aims to develop a novel analytical
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motivated researcher with: Strong background in control and optimization, preferably with experience in model predictive control (MPC). Solid skills in machine learning algorithms and data analysis
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analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
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degree in food physics/food science/in vitro digestion and similar Documented expertise in using advanced physical techniques on soft matter Have a good understanding of advanced analytical techniques (MS
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considerations. Experience working with machine learning methods for control, perception, or decision-making in physical systems is an advantage. Knowledge of or a passion for sustainable computing
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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design
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neuro-adaptability with changes in cortical manifestations during an intervention (e.g., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) will