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Advertisement for the field of study such as: Automation engineering, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics
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organizing/publishing software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities
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development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and
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considerations and algorithms for protocol documents according to study design and appropriate statistical methods, manage and maintain documentation of files and analyses. This person will summarize and present
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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diverse and global society. Through a variety of educational pathways that provide access and range from certificates and associate degrees to a professional doctoral program, UNG is responsive to regional
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Arab Emirates Application Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 9 days ago
5 Dec 2025 Job Information Organisation/Company National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch Department Electronics, Computers and Electrical Engineering
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
We seek candidates to join the Algorithms Section. The focus of the call is both to expand at the new Vejle campus and to strengthen the Odense campus. We have several openings, and successful
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trust and agentic AI. Job Description: Review the literature about Real World Asset and blockchain technologies Design new blockchain consensus and trustworthy algorithms to support Real World Asset