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-seq, spatial transcriptomics and multiplexed immunofluorescence in-situ images, in the study of immune-stromal-cancer interactions in metastatic progression. The scholar will aim to understand
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theoretical modeling, remote imaging, and direct observation. Our research has both fundamental and applied elements. The successful candidate will demonstrate exceptional academic achievement and promise, and
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will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab and in other collaborating labs at Stanford to tackle emerging clinical questions in oncology
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of eDNA and eRNA in the environment, and how their concentrations relate to densities of organisms (both vertebrate and invertebrates). An ideal candidate will know how to use QPCR and / or droplet digital
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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, neural circuit function (2P imaging), and biomaterials Required Application Materials: CV [including education, research experiences, publications, and previous employment] Contact information for 3
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. Preferred experience in 2P imaging and analysis for cellular migration and GCaMP. Required Application Materials: • CV [including education, research experiences, publications, and previous employment] • A
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. The Boehm lab works with pathogenic bacteria, viruses, and eukaryotic organisms. An ideal candidate will be skilled in QPCR and / or droplet digital PCR, as well as traditional microbial cultivation, and / or
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to treat malignant brain cancer glioblastoma. Part of our work centers on targeting EGFRvIII, which is splice variant of EGFR and is highly expressed in these tumors. Recently, we demonstrated a tyrosine
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applicant will lead a project investigating the role of mechanosensitive ion channels in different cell types in the eye. Relevant techniques include basic molecular biology, cell culture, calcium imaging