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evidenced by recent publications in e.g. Nature Biotechnology – and also provides a stimulating environment for learning computational biology. The successful applicant will in furthermore receive training
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Project description Third-cycle subject: Spatial Biology Our laboratory has recently been awarded an ERC Synergy grant
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and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create
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development projects, and drive science forward. This position is one of several industrial PhD roles funded by the DDLS program, which supports training in four strategic areas: cell and molecular biology
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and machine learning to sequences and molecules. This can be a program in bioinformatics, computational biology, machine learning, molecular biotechnology, computational chemistry, molecular physics
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bioinformatics, engineering physics, molecular biology, computer science, or a related field. You should have strong programming skills (e.g., in Python or R) and a keen interest in applying data-driven methods
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
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are required: You have graduated at Master’s level in bioinformatics, computational biology, data analysis, computer science, biostatistics, biological engineering, applied mathematics/physics or completed
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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
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relevant fields of biology (e.g., systems, evolutionary, developmental, computational), physics, mathematics or related fields. In the appointment process, special attention will be given to research skills