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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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interdisciplinary and to learn new skills and to perform research in collaboration with others. We seek candidates with the following qualifications: A doctoral degree in a Bioscience-related field awarded
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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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clinical and experimental datasets. You will join a collaborative environment and work closely with research groups specializing in microbiology (Avican Lab), machine learning (Erdem Lab), and network
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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the orientation of various types of nanoparticles within both thermoset and thermoplastic polymer matrices. This position entails close collaboration with industrial partners to implement the alignment technique
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advanced wireless technology with innovative computing to shape the future of cloud computing in 6G communications systems. The department offers a collaborative and inclusive culture that promotes
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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carried out in collaboration with all the project partners. You will work with X-ray tomography experts at the Division of Solid Mechanics and MAXIV plus machine learning experts at RISE to develop state