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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
publications in simulations of biomolecular systems and MD simulation software. Preferred Qualifications: The candidates should hold a Ph.D. in chemical engineering, chemistry, biochemistry, structural biology
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description Conduct a literature review on SSMs, LLM architectures, and hardware acceleration techniques. Investigating design choices that optimize the model across both the hardware and software stack. Design
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equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in
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for databehandling: Piwik Pro - Personvernregler for databehandling Utløpsdato: 30 minutter Navn: _pk_sesxxx Leverandør: www.jobbnorge.no Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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plus RF and microwave engineering. Hands-on experience with software defined radios (SDRs) like USRPs is considered a plus Statistical signal processing Resource allocation and optimization
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abilities for power electronics systems and proficiency in PCB design and implementation. Moreover, experience with finite element software, such as Ansys Maxwell or Q3D, and hands-on experience would be
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Observatory project and the Metamaterial Laboratory, and contribute to the department’s experimental CMB program. The person hired will be responsible for development of hardware, software, and analysis
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of physical conditions (pressure, pulse time, temperature) will be investigated, allowing for the design of efficient shockwaves. Essential multi-physics software tools will be developed. The project is a
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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall