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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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sophisticated experimental campaigns to investigate the mechanical behavior of various materials under diverse loading conditions (e.g., tension, compression, shear, fatigue, impact, high temperature). Develop
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Location: Luxembourg, Luxembourg 1511, Luxembourg [map ] Subject Area: Quantum LDPC codes with efficient decoding algorithms Appl Deadline: none (posted 2025/08/05) Position Description: Apply Position
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less authentic and personalized application PDF version of your full M.Sc. thesis (Please compress the figures if the file size is too large) At least one recommendation letter, preferably from your M.Sc
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. The IGNYTe project addresses the currently unresolved challenge of creating an efficient ultraviolet (UV) light source that can suppress spurious nonlinearities in direct drive fusion target compression. As
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, and through video meetings. Demonstrated professionalism and interpersonal skills in working with staff and outside study personnel at various levels of responsibility. Ability to maintain
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collective negotiations agreements, this position requires a fully on-site work arrangement and may be eligible for a compressed workweek or a flex workday schedule. Flexible work arrangements are not
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graduate students and contributing to interdisciplinary research initiatives; Develop faculty professional development programs; Engage in multimodal, mixed-method research, including case studies, 2D videos
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conducted remotely via video-conferencing platforms (e.g., FaceTime, Skype, Zoom, Microsoft Teams). This position has been reposted; previous applicants remain under consideration and need not re-apply
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Video: https://www.youtube.com/watch?v=stWLSVctcP4 Required Qualifications: Applicants must have earned a Pharm.D. or a Ph.D. in clinical/translational sciences, health services research, epidemiology