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-performance computing (HPC) clusters or cloud GPU instances. Analytical Rigor: Ability to design ablation studies to isolate the impact of individual loss components. Communication: Ability to clearly
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, shape analysis, etc, which may involve CAD models, point cloud, meshes, neural implicit representation, Gaussian splatting, etc Help advise students and junior research staffs Contribute to technical
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/React, HTML/CSS) with D3.js or Plotly.js; Cloud backend (Firebase/Firestore) experience; Experience with gamification design and user experience (UX) principles; Experience with user testing and iterative
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networks and/or edge-cloud continuum Document knowledge about the system performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics
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, stereo matching, point-cloud reconstruction and quantitative performance evaluation Perform simulations, experiments, data acquisition and statistical analysis Prepare research manuscripts, technical
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-seq, ATAC-seq, ChIP-seq, spatial transcriptomics and single-cell data. Familiarity with data integration frameworks, predictive modeling, and network analysis. Experience with cloud computing
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Engineering, Computer Science, or a related field. Proven experience working with wireless sensors, point cloud data processing, and sensor integration. Strong background in signal processing, computer vision
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long-term experience in investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation
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rocket or space experiments cosmochemistry. Background on the physics of cosmic dust, meteor studies, ionospheric studies, in situ measurements, meteorite studies, cloud physics, microscopy, advanced image
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refereed journals* Experience with computational protein design (desirable) Experience working with cloud/HPC environments, workflow orchestration or reproducible computational pipelines (desirable) Minimum