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sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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community for interdisciplinary research and breakthrough discoveries. You will have access to two PI:s that you can meet and interact with to facilitate the research process and increase the synergetic
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The Appointment Procedure GU 2024/1687 Assessment criteria You must have a doctoral degree, preferably in political science or a related subject, by the time the appointment decision is made. The subject area
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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for KTH and a given part of our values. For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive
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for KTH and a given part of our values. For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive
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part of our values. For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with
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provide detailed information on dynamic processes previously not feasible to study experimentally. Of special current interest is the development of new spectroscopic techniques to study high
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems