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and interface with a wealth of basic and translational research programs that are a hallmark of UCSF. Our educational programs include a research-intensive academic residency program and fellowships in
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze e Tecnologie Chimiche | Italy | 3 months ago
Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project
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performance if the candidate is enrolled in a PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf
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computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other
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the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: http://www.cu.edu/node
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to the kinetics of attachment to the cell, and thus mechanisms such as viral infectivity. As an MSCA PhD Fellow at Imperial, you will develop new computational models to determine the biocolloid/glycocalyx
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licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities
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computer data analysis. Preferred Education and Experience: * Experience in animal models of thrombosis * Experience using mass spectrometry to identify sulfhydryl modifications of proteins * A background in
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks