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Field
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classification and multi-layered environment mapping -Digital twin generation for natural environments -Semantic scene-understanding in natural environments for robust decision-making -Learning-based
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medicinal chemistry. Since 1999, we've been offering PhD training in Chemistry, fostering collaborations both nationally and internationally, with partners from academia and industry. Subject area for
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The postdoc fellow will conduct research in the intersection of AI/Machine Learning and Software Technology. The advertised position will be placed in the DISTA research group (https://lnu.se/en/dista
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facilities that are highly aligned with the goals of the project. Who we are looking for We seek candidates with the following qualifications: To qualify for the position of postdoc, you must have a PhD degree
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: For this position it is required to have a PhD in Catalysis. To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline. * It is a merit
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CAD, machine elements, solid mechanics, materials engineering, design - Supervision of students and PhD students - Collaboration with external academic and industrial partners - Contribution
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teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Your primary focus will be on conducting high-impact
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Spatial Biology The PhD student’s research activities will focus on laboratory
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data as well as other modalities (i.e. microbiome) generated using the Spatial metaTranscriptomics (SmT) method. In addition, the PhD student will also apply Spatial Transcriptomics and single-cell
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and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Tasks The tasks include primarily leading and conducting research