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Field
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-resolution microscopy Genome editing (e.g., CRISPR-based approaches) Quantitative and live-cell imaging Functional genomics The project is embedded in an interdisciplinary research environment combining
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proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
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capabilities highly desired of the candidate include but not limited to: experience in ML/ AI approaches, application of ML/AL in image processing, reasonable understanding of science/physics and engineering of
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the influenza A virus infection cycle and developing methods for in-cell structural biology. This project will study influenza A virus infection inside cells using cryo-electron tomography. You will image
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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framework 3) to develop a minimum viable digital platform prototype to demonstrate scalable CDT delivery. The successful candidate must be able to demonstrate at least one of the following: a PhD degree
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, or a related discipline. Experience in one or more of the following areas is highly desirable: Root biology, cell or developmental biology Root soil imaging (CT imaging) Cellular and confocal imaging
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
on the construction of a customized fluorescence microscope for combinatorial droplet microfluidics. Installation of additional microscopic tools, including quantitative phase imaging for density measurements
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department