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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
Machine Learning (DM3L) Doctoral Candidate in computer vision and machine learning for developing novel deep learning methods for satellite-based tracking of global CO2 and NOX emissions of point sources 80
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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for nowcasting, high-frequency indicators construction, machine learning, time-series econometrics and maintains the data and tools that feed the regular KOF macroeconomic forecasts. Curious? So are we. We look
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. This position is intended for researchers who will complete their PhD by January 2026 or have completed their PhD within the last 2 years. Research in the Ethics, Technology and Society group is on the mutual
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university dedicated to advancing science and technology. Project background We are seeking a highly motivated PhD student to contribute to the further development of SimuCell3D, a high-performance C
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scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning applications, demonstrated through contributions to open source projects and production
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the intestinal mucosa in homeostasis and inflammation. Please enter text here Project background We offer a PhD student (100%) or Postdoc (100%) position within the Hausmann group, currently located
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of Geoinformation Engineering (Prof. Dr. Martin Raubal), the Department of Transport and Planning at TU Delft, and Mobility Car Sharing. Job description The main objective of this PhD position is the investigation
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degree in Machine Learning, Data Science, or Biomedical Informatics. 5+ years of experience in software product development and management, preferably in healthcare or life sciences. Proven ability
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are considering different profiles for this position. An ideal candidate is A: A research scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning