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Field
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Completion or near completion of a PhD in Engineering (mechanical, aerospace, civil, petroleum) or Science (applied physics, applied mathematics) with a strong background in CFD and the finite element method
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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of Stavanger invites applicants for a position as Postdoctoral Fellow in Algebraic and Symplectic Geometry at the Faculty of Science and Technology, Department of Mathematics and Physics. The position is vacant
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School of Mathematics and Physics Full-time, fixed-term position for up to 2 years Base salary will be in the range of $114,824.05 - $136,048.72 + 17% Superannuation (Academic Level B) Based at our
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Requirements: Preferably PhD in computer science or related field. Expertise in computer programming Knowledge in machine learning Proven research ability as evidenced through a portfolio of publications and/or
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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recruiting a post-doctoral researcher to develop computational models to study the spatial organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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School of Mathematics and Physics Full-time, fixed-term position for up to 3 years Base salary will be in the range of $82,057.75 - $109,246.18 + 17% Superannuation (Academic Level A) Based at our
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computer science or statistics A solid background in mathematics, linear algebra and statistics. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework