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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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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
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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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, 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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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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learning, and single-cell omics data modeling, or closely related fields Proficiency in R or Python under Linux with contributions to source code Strong track record of scientific productivity, including
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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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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental