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Field
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Position DescriptionPhD Position in the field of Nanocomposites for Environment, Energy, Sensor, and Healthcare ApplicationPhD Position descriptionThe student will focus on creating magnetic and
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06.02.2024, Wissenschaftliches Personal Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and
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PhD Position description:The student will focus on creating magnetic and electrically conductive nanoparticles, further development of novel polymer nanocomposite for Environment, Energy, Sensor, and
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, you will quickly establish contacts with the Swiss industry. In our young teams, you will work at the forefront of today's knowledge in manufacturing. We offer a modern working environment in a young
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for Agriculture, Food, and Environment (INRAE).Number of positions available: 1.Country: France.Address: : UMR SayFood, 22 place de l’agronomie, 91120 Palaiseau, France.Please note that this PhD position will lead
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environment in a young and motivated team and an interesting topic in a fast-growing field of research. We value diversity In line with our values , ETH Zurich encourages an inclusive culture. We promote
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20 Apr 2024 Job Information Organisation/Company Helmholtz-Zentrum für Umweltforschung - UFZ Research Field Environmental science Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 16 Jun 2024 - 10:00 (UTC) Type of Contract To be defined Job Status Other Offer...
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20 Apr 2024 Job Information Organisation/Company Helmholtz-Zentrum für Umweltforschung - UFZ Research Field Environmental science Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 12 May 2024 - 10:00 (UTC) Type of Contract To be defined Job Status Other Offer...
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facilities, strong industry ties, and a track record of nurturing successful start-ups, our partner universities offer an unparalleled environment for doctoral research. Nestled within the vibrant academic
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techniques for environmental sciences – information provided in the CV and/or motivation letter; e) Experience in statistical analysis, preferably in an R environment – information provided in the CV and/or