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Status: Open Applications open: 1/04/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This scholarship is funded by
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11.11.2024, Academic staff In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the actual stress
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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· Develop formative and summative evaluation plans, and construct comprehensive logic models that capture program activities and outcomes. · Design evaluation procedures/protocols and develop data
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of data, expert knowledge, computational models, digital twins, and advanced artificial intelligence within a new intelligent decision-support framework. This position corresponds to Doctoral Candidate 15
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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to measure the amount of information available to speakers when they make inferences about the shape of inflected words. For example, English speakers can guess that the past tense of a new verb like "glorp
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domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively remove the influence of specific data from trained models becomes critical. Yet, despite the EU’s
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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 9 hours ago
characterization of biological samples Quantitative image and data analysis Critical analysis and interpretation of experimental results Your qualifications You hold a Master’s degree or equivalent in reproductive