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Field
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at the interface between mechanics and machine learning? We are looking for a postdoctoral researcher for a fixed term, full time position at the Department of Materials and Production on Aalborg campus, starting 1
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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components: a job-related salary element and a personal salary element. For a Postdoctoral Researcher, the job-related salary element is based on level 5 of the job requirement level chart for teaching and
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and
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the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and
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mechanics, finite element modeling, and multi-scale biomechanics who is motivated to work at the interface of cardiac mechanobiology, machine learning, and scientific software development. You will be part of
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, organization/managerial skills, computer skills), publications (indicating the contribution of applicant to the publication, number of citations, impact factor of the journal), SCOPUS ID or ORCID number, h-index
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enrichment, network analysis, and integration with transcriptomic datasets. Analyzes ATAC-seq and ChIP-seq data, including quality control, peak identification, motif analysis, transcription-factor activity
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Strong background in biomechanics, biomedical engineering, computational mechanics, or equivalent fields. Strong foundation in numerical methods, especially the finite element method. Proficient in python