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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep detailed records of all
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instruments. Concepts, operation and maintenance of low temperature spectroscopic imaging STM including, quasiparticle interference imaging of correlated metals, topological states and superconductors
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, for the purpose of aiding and enabling downstream tissue engineering and preclinical study, working with other team members. Key Responsibilities: Design and develop a prototype to analyse the electrical signals
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conjunction with imaging techniques (TEM, SEM, and AFM). This research project falls within CERMAV's key research areas and is being carried out within the “Self-assembly and Physicochemistry of Glycopolymers
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Internal Number: 260550 Position Summary: Rutgers, The State University of New Jersey, is seeking a Postdoctoral Associate for the Division of Acute Care Surgery at the Robert Wood Johnson Medical School
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represents and processes naturalistic stimuli, with a focus on visual and social cognition and their development. This position is designed for individuals who aim to develop into independent researchers and
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of formulations through appropriate injection routes, IVIS imaging for monitoring biodistribution or reporter expression, and collection of tissues for downstream processing, histological assessment, and molecular
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 4 hours ago
organoid culture methods. Experience in computational analyses of proteomics or single-cell sequencing datasets. Experience in microscopy and image analysis. Effective collaboration in interdisciplinary