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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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and motivated PhD student to join an interdisciplinary project that combines computational biology, spatial transcriptomics, and tumor modeling to understand how the aggressive brain tumor glioblastoma
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thesis project will focus on drug resistance mechanisms in microbiome species, and is part of a European MSCA Doctoral Network (https://endamr.eu/ ). The position is for four years of doctoral studies
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. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Project description This PhD student position is in the research team of Associate Professor
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to building a safe and positive environment for all employees through mutual respect and tolerance. Doctoral Research Subject Medical Science Description of the project CMDs are a major global health concern
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themselves to analytical treatment; Writing up results and publishing them in reputable international journals. As a PhD student, you devote most of your time to doctoral studies and the research projects
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measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
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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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-coordinate system. Current approaches treat PC transmission and registration as separate modules, leading to inefficiencies in handling latency and registration accuracy. This project takes a joint design