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, statistical signal processing, optimization theory, machine learning and artificial intelligence. The candidate is expected to actively participate in experimental work focused on building datasets of channel
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QUALIFICATIONS Track record of mentoring and teaching laboratory and professional skills. Experience using code-based programs (Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The University of Minnesota Medical School (Duluth and Minneapolis campuses) is
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required. Job Type: Full Time Rank: Post Doc Campus: Unionized Position Code: Not Applicable Job Description: The Mathematics Department at Syracuse University seeks to ll one 12-month Postdoctoral Scholar
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Department Name MICROBIOLOGY Location Code MICROBIOLOGY (06220A) Is this split and/or fully grant funded? Yes Duties and Responsibilities Candidates for the Postdoctoral Fellow or Research Associate position
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
Job Code: 395 Job Offer from June 26, 2025 The Max Planck Institute for Astronomy (MPIA) in Heidelberg invites applications for up to three postdoctoral position to work on topics related to ISM
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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analysis, interpretation, and write-up using a critical social science approach. Duties will include: coding and thematic analysis and of data; interpretation of results; developing a robust qualitative
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times