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within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class
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mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
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. The position focuses on frequency-domain electromagnetic (FEM) and transient electromagnetic (TEM) methods. The successful candidate will contribute to the development of an inversion framework for the joint
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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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health and disease, and experience in the algorithms used to analyze these datasets. The appointee will ultimately create an independent research effort with dedicated extramural funding that complements
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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Xu at Department of Pathology and Center of Excellence for Leukemia Studies (CELS) at St. Jude Children's Research Hospital to study the metabolic processes that control stem cell development, blood
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Gerardo/Fondazione Tettamanti (Professor Andrea Biondi). The Applicant should be a strongly motivated fellow with a strong background in cellular and molecular immunology and have the potential to develop
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cell fate and circuit formation in developing Drosophila brains. The lab combines a variety of cutting-edge experimental and computational techniques including single-cell RNA and ATAC sequencing
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supported postdoctoral fellowship studying the pathogenesis of myeloid malignancies. The major interests of the lab are determining how acquired mutations in hematopoietic stem cells lead to the development