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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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career development plan. The program integrates international, interdisciplinary, and intersectoral elements to provide a well-rounded educational experience. Networking Opportunities: Build lasting
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. Experience of designing antibody-based strategies for cancer treatment, and evaluation of such strategies in cellular systems. Understanding of the processes involved in translating research findings
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or a similar subject. This eligibility requirement must be met no later than the time the employment decision is made. Good theoretical knowledge in cell- and molecular biology. Experience of laboratory
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, imaging, and computation. Show interest or experience in automation, AI-assisted microscopy, and data-driven experimental design. Have experience working with LLM-based chat assistants, AI agents
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equality We welcome applicants from diverse backgrounds. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading