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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Biotechnology The project aims to develop probabilistic deep learning models
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++, Python, Rust, …). Demonstrated experience in one of the following areas, with a willingness to learn one another: (1) genome sequences and omics data, (2) deep learning, and (3) compressed data structures
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and Molecular life sciences. Our research and education focus on a deep understanding of chemical and biological processes in cells and in the environment. We are responsible for postgraduate education
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, the following are required: – Documented several years of experience in training, evaluating, and deploying machine learning models, including deep neural networks and relevant frameworks – Documented several
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higher education credits, or acquired, in some other way within or outside the country, substantially equivalent knowledge. strong programming skills, esp. deep learning. prior education and research