14 wireless-communication PhD positions at Swedish University of Agricultural Sciences
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communication skills in English. The candidate should be willing to learn new things and be interested in working with applied and interdisciplinary research. A strong interest in and knowledge of Geographic
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engineering, computer science, physics engineering, or equivalent) Programming skills in Python or another language Strong work ethic Fluency in English, with the ability to write, communicate, and interact in
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thinking. We expect excellent communication skills in scientific English, both written and spoken. You should be capable of conducting independent research, formulating relevant scientific questions, and
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system stakeholders to operationalize and test developed tools and strategies. Communicate findings through peer-reviewed publications, conference presentations, and stakeholder engagements. Qualifications
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understanding of plant biology • Good communication skills and excellent knowledge of English, both orally and in writing Meritorious qualifications • Experience or knowledge of food crops and agriculture
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silviculture or ecological surveys, ability to work independently in the field, skills in GIS and R-statistical analysis, and good communications skills in written English. A drivers license is a necessity for
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) The successful candidate will be based in Uppsala but expected to spend extended periods in Brazil for field and lab work over four years. Fluency in English is essential as it is the team's common language. The
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are not required in the first stage of application). If you are not a native speaker of Swedish, please provide a language certificate. To qualify for third-cycle (Doctoral) courses and study programmes
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conditions, mycorrhizal colonisation and community composition, and spruce resistance against European spruce bark beetle attack. The project uses a simulated drought event, combining field studies, laboratory
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language such as Python, R, C, or MATLAB Fluent in English for communication and scientific writing Merits: Knowledge and experience in: Data Science and Statistics Radio Frequency Digital Signal Processing