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health insurance. Research costs for your projects. Travel funds for you to present your work at scientific conferences. Opportunity to travel and visit our research collaboration partners. A shared office
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candidate eager to operate at the interface of molecular biology, neuroscience, and AI. Responsibilities Wet-Lab & Experimental Work Set up and optimize imaging based spatial transcriptomics protocols.Set up
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) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio frequency
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
. Your mission and contribution are to: Design, implement, and optimize plasma-based thin film deposition processes Develop and operate a dual PECVD–reactive magnetron sputtering deposition strategy within
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Your Job: This position focuses on building, operating, and testing superconducting quantum devices. Your tasks in detail are: Design and fabrication of superconducting quantum circuits Setting up
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 3 months ago
Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes under national and international projects, · collaboration with application developers
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satellite connectivity. This involves investigating and optimizing the wireless baseband chips, their firmware, the smartphone operating systems, the associated smartphone ICT ecosystem, and the related
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support optimization of patient care. Whether this is achievable depends on the reliability of an AI-model. Testing of AI is often done on small numbers, and AI-models are not equally useful in all
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mentoring, and it serves as the university’s umbrella organisation for all operative and strategic developments regarding early-stage researchers’ careers. In this context, the Graduate Academy cooperates
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to develop scalable and energy-efficient AI accelerators for resource-constrained IoT and networked systems through joint optimization of AI models and emerging hardware architectures. Topics will include: AI