26 social-network-analysis Postdoctoral positions at Chalmers University of Technology in Sweden
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, diversity, and gender equality, supported through networking and mentoring activities. A friendly and inclusive working atmosphere, both within the research group and across Chalmers. About the research
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Parkinson. We use in vitro biophysical analysis to characterise protein aggregates and their formation in combination with advanced live cell fluorescence imaging and cell model development to study protein
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Join a young team with a strong national and international network in the field of the rapidly expanding area of metal additive manufacturing at Chalmers University of Technology ! This postdoc
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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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postdoctoral position in data analysis, where you will apply machine learning techniques to understand how resistance genes spread and to help detect infections caused by resistant bacteria. The position is part
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challenges and real-world impact. Project overview In recent years, generative neural network models for creation of photo-realistic images have become increasingly popular. Their training results in a low
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). This position offers a unique opportunity to collaborate closely with researchers across the Division of Marine Technology at Chalmers University, with a focus on maritime transportation risk analysis. Project
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of managing reverse logistics for returned products, and the potential disruptions to existing distribution networks. About us and the research project The division of Supply & Operations Management (SOM
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biomass characterization, biomaterial characterization and application. Experience in glycomic analysis is highly recommended. Laboratory experience in biomass transformation in materials and water based
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network of national and international collaborators. Project overview The aim of this two-year project is to validate and further develop advanced numerical models (originally developed at Chalmers