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learn from the past to improve future climate projections and preparedness? It will drastically expand the available evidence by connecting future climate impact scenarios to the rich record of the past
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; Position 2 requires oral and written proficiency in Arabic and English Ability to learn, develop and apply new tools and techniques for digital research, ethnographic fieldwork, data analysis and writing
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Good mathematical skills Good writing skills Desire to teach All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be
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related field. Demonstrated expertise in machine learning, deep learning, or advanced statistical analysis applied to complex, multimodal data. Hands-on experience with high-performance computing (HPC
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, geometric deep learning. Considered an advantage: experience in programming or course work in computer science, algebra, topology or differential geometry, knowledge of topological data analysis or machine
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/ deep learning workflows) and integrate these readouts with viability metrics and genomic data. Collaborate closely with clinicians, surgeons and SINTEF partners on patient sample handling, experimental
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communication skills in English Desired qualifications: Experience in dynamical analyses Familiarity with turbulence and nonlinear processes Good mathematical skills Good writing skills Desire to teach All
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Familiarity with turbulence and nonlinear processes Good mathematical skills Good writing skills Desire to teach All candidates and projects will have to undergo a check versus national export, sanctions and
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pressure-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a
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turbulence and nonlinear processes Good mathematical skills Good writing skills Desire to teach All candidates and projects will have to undergo a check versus national export, sanctions and security