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it will also involve a small degree of teaching and supervision. To that end, the successful applicant will be expected to take part in the department’s teaching and supervision activities and to teach
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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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engineering, with a strong willingness to learn the complementary skill set. Experience in collaborative research environments. Excellent communication and teamwork skills. A proactive attitude towards learning
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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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it will also involve a small degree of teaching and supervision. To that end, the successful applicant will be expected to take part in the department’s teaching and supervision activities and to teach
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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