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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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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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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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all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research
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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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time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable. Application process An application must contain the following documents in English or Swedish: A complete
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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
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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