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; Quantitative Synthetic Biology; Integrated Circuit Material Packaging; Brain-computer Interfaces and Intelligent Systems; Cloud-Edge Collaborative Artificial Intelligence; Embodied Artificial Intelligence Robots
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The Faculty of Engineering, Department Electronics and Informatics, Research Group Electronics and Informatics: Research – Development - Innovation is looking for a PhD-student with a doctoral grant
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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) Positions PhD Positions Application Deadline 9 Mar 2026 - 23:59 (Africa/Abidjan) Country Spain Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme
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the lab’s proprietary software stack. Additional Information: Required: Resume and Cover Letter Qualifications Required: PhD in Civil Engineering, Geoinformation, Computer Science, or a related computational
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Engineering & Development, Artificial Intelligence/Machine Learning platforms, Blockchain, Cloud Computing, Software Engineering, as well as Data Architecture & Engineering. In this role, the Teaching Faculty
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Performance . For further information, please click here to view the information booklet. About You Applicants should hold a PhD in a discipline relevant to Geographical Information Science (GIS). You will
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clinicians and leaders for rural and immigrant populations Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin
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to biological data. PREFERRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Computer Science, or a related field Experience applying deep learning or foundation-model approaches to sequence-based
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Siemens Gamesa Renewable Energy. Your work would combine advanced computational structural engineering, point cloud processing and tolerance assessments. Specifically, you will: Undertake advanced finite