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Field
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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working with and manipulating large datasets with scripting languages such as Python, or compiled languages such as C++, and Fortran. Experience implementing workflows with API wrappers and software such as
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approach, including biochemistry, flow cytometry, single-cell transcriptomics, optical mapping, molecular cloning, and advanced phenotyping in transgenic mouse models. This is an excellent opportunity
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detailed structural information on active pharmaceutical ingredients (APIs), pharmaceutical cocrystals and salts, formulated drug products, and other complex solid-state systems. Projects will utilize state
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mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for which we
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against A-Lab experimental campaigns and integrate simulation agents into live campaigns through AlabOS APIS. Compute first-principles active-site descriptors for $\text{CO}_2$ conversion catalysts (vacancy
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to map the associations between coordinated activity at the level of 100s of single neurons to that of local field potentials in cortico-basal ganglia thalamic circuits. These analyses will be used
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liquids and/or deep eutectic solvents for API synthesis; optimization of the process conditions with emphasis on reduction in use of organic solvents; controlling the conditions of the process and its
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MAPS Project IZ11Z0_230668 „Magic bullet gels: unleashing antimicrobial peptide metal complexes” Requirements The candidate is required to have: Holding a PhD degree in the discipline of chemical
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lab work includes the lab's recent Nature Genetics publication on proteome-wide Mendelian randomization and proteome-phenome mapping Primary Responsibilities The Postdoctoral Fellow will be expected