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The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in
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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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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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, 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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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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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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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