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the area. Qualifications Applicants must have a PhD degree in a relevant field related to Sensory and Consumer science, from a University or an academic institution As the work will involve international
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model organisms protein purification biochemical functional characterizations in vivo assays in genetically tractable archaea Your profile We are searching for a highly motivated candidate who has: A PhD
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-based supervision of Bachelor, Master and PhD students in a vibrant group. Your profile We are looking for a highly skilled and motivated person who is ready to take a risk and gain high through
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
turbulence profiles provide additional data for training and testing. A specific aim is to further develop the methodology of modular compositional learning (MCL). Here, an aquatic ecosystem model is
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thermoset plastics, such as epoxy resins/composites and polyurethane You will be involved in independent and collaborative projects dealing with plastic recycling. These activities will be in close
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research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in remote sensing, data science, agriculture, ecosystem modeling or similar
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. The candidates must hold a PhD in Chemistry/Physics. Experience in data framework development, kinetic/thermodynamic modeling, and collaborative interdisciplinary research. An education history in chemical
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the department We seek a candidate with the following qualifications : Required: PhD in wildlife ecology, conservation biology, or a related field Experience with technology-assisted wildlife monitoring (e.g
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scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in microbial ecology, plant-microbe interactions, fungal biotechnology or similar Collaborative skills and
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should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field . Experience in planning and executing experimental work in one or more of the following