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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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materials • Performing laboratory thermal, moisture and strength tests following relevant European or National Standards (e.g. compression, thermal conductivity, water absorption) • Investigating means
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provider how to adjust their compression depth, rate, and release to improve patient outcomes. The student will have the opportunity to work with a range of engineers, doctors, and paramedics and will help
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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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preclinical animal models required for research projects. Collaborate within interdisciplinary teams to analyze data, publish findings and contribute to clinically relevant innovations. Required Qualifications
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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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([email protected]). See also https://www.ch.nat.tum.de/pc/research/e-conversion/ and https://www.ch.nat.tum.de/hydrochemistry/environmental-and-isotope-analysis/ for more information. The position is suitable
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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