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programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution, and statistic are merits as well as documented
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statistical, database management and scripting programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution
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degree in a subject relevant to the project A strong background in mathematics Knowledge of machine learning Experience with natural language processing (NLP) and computer vision (CV) Ability to work in a
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understand the true dynamic nature of biomolecules. As a PhD candidate, you will: Utilize computational methods, AI techniques, and tools like AlphaFold to analyze and model biomolecular structures, dynamics
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data and creating algorithms for quantitative assessment. Could it also be that you naturally navigate new ideas, solutions, and data-driven analysis methods in your way of working? You would also find
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diverse data types and can be used for cross-modality data transfer. Multi-modal generative models are likely to become an increasingly crucial biological research tool. Due to the complex nature of many
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registries and biobanks. MS is a lifelong neurological disease that affects individuals, primarily women, in their most productive years with varying degrees of progressive disability that affects all areas
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more than 33,000 students, 1,600 doctoral students and 5,500 staff members active within the natural sciences and humanities. Research and education at the Department of Ecology, Environment and Plant
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in photolyase proteins using time-resolved serial femtosecond crystallography at Free-electron laser sources. The project requires production and crystallization of protein, performance of time
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conditions, gender equality and diversity as well as study environment. Work and study in Stockholm, close to nature and the water. A position within the fast growing field of ”spatial omics” at the largest