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. The position is a fixed-term full-time position for 12 months/years. The Department of Biomedicine prioritises diversity and a good work environment, as this is a prerequisite for groundbreaking research. In a
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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and innovation. With us, your curiosity will know no bounds. We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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the spruce bark beetle. Your profile A Ph D in ecology or a similar subject is required. Experience from similar research, i.e. about how different forest organism groups are affected by environmental changes
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through the lens of human-animal relations. In addition, it situates its findings within broader debates in environmental history, colonial science, and the global history of human-animal entanglements
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learning, research, and Extension programming environments where the unique contributions of each individual are acknowledged and valued. At IANR we see every person and every interaction as important to our
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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. We
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Alzheimer’s and Parkinson’s. You will work within a multidisciplinary environment alongside data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI