375 coding-"https:"-"FEMTO-ST"-"CSIC"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions
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are seeking a Research Fellow to support research in coding theory so that the coding theory group at NTU will continue to be one of the leading international centres in the field. This will help NTU
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) at CEITEC, looking for Postdoctoral Research Fellow in Non-Coding Genome Research group About this position: We are seeking a highly motivated Postdoctoral Researcher to join our team! The research project
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-Coding Genome Research group About this position: We are seeking a highly motivated Postdoctoral Researcher to join our team! The research project will focus on developing fluorine NMR methodologies
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their relationship with their family members. (omissis) Where to apply Website https://www.unimore.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with
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, AI-assisted explainability. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 hours ago
coding a large social survey; the role will include undertaking social media analysis, interviewing and participating in focus groups, thought collectives and help with the transcription of interviews
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administrative datasets, applying best-practice statistical/econometric methods and producing reproducible code and publications. Support supervision and development of Honours and HDR students, share expertise
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Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code