87 data-"https:" "https:" "https:" "https:" "https:" "https:" positions at Chalmers University of Technology in Sweden
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information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral degree in
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of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods
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. Research topics include: Development and validation of DORIS data processing and modeling Implementation of improved models for DORIS satellites and ground systems Cross-analysis of DORIS and other geodetic
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- 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteChalmers University
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. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Discover more Find more general information about doctoral studies at Chalmers here . Learn more about being a
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aspects of all our activities. If you want to learn Swedish, Chalmers offers Swedish courses to help you settle in. Discover more Find more general information about doctoral studies at Chalmers here . Join
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collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Built Environment, Energy, Information & Communication Technology, Life Science, Materials
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effective automated approaches for increasingly autonomous materials experiments (for further information, please check here ). This project provides you an excellent starting point for an academic career
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Safe and efficient ice navigation supported by satellite data Join us at the Division of Geoscience and Remote Sensing and help advance knowledge about sea ice dynamics and develop the capability
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computer algebra tools to efficiently study these problems. A particularly useful technique is to study how different kinds of symmetries can characterize a spacetime and give a manifestly coordinate