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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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-world medical applications? Do you want to design next-generation protein therapeutics using cutting-edge generative models and validate them in the lab? Join a collaborative PhD project at DTU
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of applicants will be made by Assistant Professor Raphael Ferreira together
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Development: Collaborate with our team to develop compelling and competitive grant applications to grant programs such as Horizon Europe, LIFE, CETPartnership or others depending on availability and relevance
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, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Patrick Njage (Main Supervisor), in collaboration with Frank Møller Aarestrup and Pimlapas
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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor Philip Loldrup Fosbøl. We offer DTU is a leading technical university globally
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plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find this exciting. You should be scientifically curious and
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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be undertaken by the members of the supervisory team embracing this PhD scholarship. We offer DTU is