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and application of atomic methods and computer codes for heavy many-electron atoms, ions, and exotic muonic atoms at the forefront of precision theory. This position offers exciting opportunities
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differences enrich the work environment for all. Not ready to apply? Join our talent community here! Basic Qualifications What you’ll Need: Applicants are expected to hold a Ph.D. Experience with computer
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations
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) are for applicants with a PhD in a biological discipline, who will broaden their expertise by proposing a project in the life sciences which is significantly different from their previous PhD or postdoctoral work
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking an outstanding and highly motivated Research Fellow to join its internationally
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of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel
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closely related field Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Documented experience in computer networks especially in mobile
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, NORTE2030, under notice MPr-2023-7, under the following conditions: Scientific Area: Electronics and Computer Engineering or related areas. Recipient category: The open position is for candidates holding a
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, protein, PTM, metabolites) in different resolutions (e.g. subject, tissue, single cell) with or without spatial features. Analyse large-scale omics datasets, interpret results, and generate biological