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dissemination skills. These capabilities are directly transferable to careers in cybersecurity R&D, secure hardware design, defence electronics, and post-quantum technology innovation, where demand for secure and
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Action Plan for a national noise hot-spot. Ideal profile: honours degree (2.1 +/MSc) in environmental science, data science, public health, geography or similar; experience with R/Python statistics
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information Further information may be obtained from Professor David R. Fuhrman (drfu@dtu.dk ). You can read more about DTU Construct at www.construct.dtu.dk . If you are applying from abroad, you may find
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. Proficiency in handling large datasets in R or another coding environment as well as good botanical skills are important merits. We also place great importance on personal qualities, as the candidate will
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drought as critical risk, few have prepared for it. This is due to a lack of understanding of the urban water balance under drought and the vulnerability of urban water use(r)s, especially with regards
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. Strong quantitative skills, with experience in econometrics and statistical analysis. Experience working with large datasets and appropriate software (e.g., Stata, R, Python, Julia, MATLAB). Excellent
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health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
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(e.g., Python, R, MATLAB) Background or interest in nature-based solutions and optimization techniques Experience in working with climate model outputs and scenario analysis is an advantage A proven
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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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& Recht, OO&R). The Radboud Business Law Institute facilitates and conducts high-quality academic research in the field of business-oriented private law. The institute is a collaboration between Radboud