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expertise in existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will contribute to building a
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of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge interdisciplinary research at the intersection of ML and cancer research, and to contribute
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, revealing how immune niches form, evolve, and malfunction across human organs and diseases. This includes investigating the cellular and molecular mechanisms that form and regulate tertiary lymphoid
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a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core
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SciLifeLab Drug Discovery and Development. The department is also responsible for several student courses and offers high-quality education at both undergraduate and advanced levels. Approximately 35 people