13 phd-position-in-data-modeling Fellowship positions at UiT The Arctic University of Norway
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satellite data analysis algorithms and solutions that will form the technology foundation for new products. The position is for a period of three years. Admission to the PhD programme is a prerequisite for
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in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State
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and other marine species. The PhD candidate is expected to contribute to ongoing and future projects with measurements, including analyses and mathematical modelling of already collected and new data
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teaching assistant at UiT (25% of the PhD time) Finally, writing up and defending a PhD thesis. Want to know more about the position? For further information about the position, please contact: Associate
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Modelling, Space Physics, and Ultrasound, Microwaves and Optics. The department provides education at the Bachelor, Master, and PhD levels. Want to know more about the position? For further information about
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teaching assistant at UiT (25% of the PhD time) Finally, writing up and defending a PhD thesis. Want to know more about the position? For further information about the position, please contact: Associate
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Modelling, Space Physics, and Ultrasound, Microwaves and Optics. The department provides education at the Bachelor, Master, and PhD levels. Want to know more about the position? For further information about
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. The research topic of this PhD is Accurate and Scalable Simulation of Edge Systems.You will be part of the Cyber-Physical Systems group . General information about the position. The position is for a period of
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will find more information for applicants . Remuneration for the position of PhD Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to