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are seeking a postdoctoral researcher with a PhD in AI-based computational pathology, or related field, with experience in development or application of deep learning methodologies. Knowledge and expertise in
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, the Robotics, Perception and Learning Lab at KTH, and the Department of Mathematics at KTH. It also involves active engagement with industry partners, including H&M, Volvo Cars, Zenseact, and Embellence Group
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algorithms; experience in 3D/4D (X-ray tomography) image processing; experience in machine-/deep-learning based image analysis; knowledge of tomographic reconstruction methods; experience in materials research
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, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting, as is experience with single-cell RNA sequencing or other omics assays
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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deals with international trade in forest-based products, focusing on the trade between Sweden and Norway and other regions. The post-doctor will develop an analytical framework able to account for bi
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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(Lizana Lab). In this project, we look for a young researcher interested in small living systems who wants to learn how to create quantitative models based on molecular mechanisms. This postdoctoral
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Description of the workplace The position is based at Lund University’s Faculty of Medicine, within the Department of Experimental Medical Sciences, specifically the Medical Structural Biology
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developing a novel imaging and amperometry-based platform for research into neurological diseases. About us The Esbjörner lab belongs to the Division of Chemical Biology , which is part of the Department