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Research Fellow in Deep learning on image data for subsurface imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department
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with a PhD in clinical or counseling psychology, there is an opportunity to deliver cognitive processing therapy, a manualized, evidence-based trauma-focused psychotherapy for PTSD, within a research
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analysis, geometric integration, scientific computing, image processing, probability, and inverse problems. Experience with learned PDE methods is highly desirable. The applicant should have programming
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maintenance of equipment. Job Requirements A PhD degree in computer or related programmes and have relevant competence in the areas of VR/AR/MR and AI. Knowledge and experience in optics will be advantageous
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. Using cutting-edge biosensors and microfluidics, The researcher will delve into understanding cellular forces during critical processes such as cell adhesion, platelet aggregation, and macrophage-mediated
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Experience with high performance computer clusters (e.g, TAMU-HPRC, UT-TACC, NVIDIA Data Center). Preferred Qualifications Background in estuarine ecology, aquatic vegetation Experience with image analysis
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PhD student who is eager to tackle complex questions relevant for cardiac tissue engineering, advanced imaging, and image analysis. The candidate will need to work interdisciplinary and with a large
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the academic promotions process. About You Completion or near completion of a PhD in polymer science or engineering, preferably with a focus on polymer chemistries. An emerging profile in research in polymer
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in stem cells, tissue engineering, microfluidics, organ-on-a-chip, 3D bioprinting, and non-invasive imaging to mimic various microphysiological features of tissues in health and diseased states and for
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genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in polymer science or engineering, preferably with a focus on surface