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Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning
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participants, researchers and stakeholders Developing topic guides in collaboration with the study Lived Experience Advisory Group Analysis and reporting of findings For more information on Peninsula Medical
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, completion-based, and operational flow control strategies to optimize geothermal energy production performance. Research will combine reservoir simulation, field data analysis, and coupled modeling
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recruitment to a range of research studies including PCCT components and also undertake data analyses tasks, such as spectral decomposition analysis to determine PCCT’s value in detecting a range of
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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responsibilities The position involves analysis of JWST imaging and spectroscopic data from the project mentioned above. The work will involve analysis of the nebular, PAH and dust emission, modeling of embedded
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or data analysis are an advantage. In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis or equivalent, and any other scientific work
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& qualitative research methods. Previous experience in fiscal policy on green investment, sustainability reporting, ESG analysis, or corporate sustainability is a plus. Contact information: Associate Professor
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Campus Lillehammer or Campus Rena. Contact information: Associate Professor, Martin S. Time, phone number: +47 400 13 495, e-mail: [email protected] Head of PhD programme Marit Engen, phone number: +47 61
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troubleshooting. · Lead genomic analysis and integration of multi-omics data including microbiome and cell stress phenotypes. · Lead collaboration with spatial transcriptomics and functional genomics