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questions such as how these phytohormones integrate chemical and mechanical signals derived from the cell wall to influence cell wall chemistry and tissue-scale mechanics in a feedback mechanism for the
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)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create multimodal systems. The emphasis is
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approach that integrates wireless communication, computer vision, and machine learning to optimize PC transmission from sensors to an edge server for remote registration. The research is funded by Wallenberg
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We are looking for a PhD student to participate in the development of new remote sensing capabilities for future 6G communication systems. These communication systems will integrate terrestrial and non
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evolution and direct manipulation of resource allocation patterns, this project aims to explore somatic and germline mutation rates from a life-history perspective, to determine whether they are integrated
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methods, including modern machine learning methods, to draw inferences from register data. A third project “Integrative machine and deep learning models for predictive analysis in complex disease areas“ is
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. The endogenous opioid system, that integrates with the mesolimbic dopaminergic pathway to confer the rewarding properties of both social rewards and drugs, is a potential molecular target by which substances
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flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict multiphase flow behavior. The project also involves applying
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clinical genetics, clinical immunology, pathology, neuro biology, neuro-oncology, vascular biology, radiation science and molecular tools. Department activities are also integrated with the units
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, Stockholm Solna. Due to the highly interdisciplinary nature of the project and the position (applied mathematics), the successful candidate will also be an integral part of Johan Karlsson’s group at KTH