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conventional production hosts. In parallel, we design and build advanced yeast cell factories. By combining fundamental biology with cutting-edge strain engineering, our work aims to enable sustainable
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are driven, responsible, and highly lab-oriented, with the ability to manage multiple tasks in parallel. What We Offer This position provides a rare opportunity to build a new synthetic platform from
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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sources and to produce high-value metabolites that are difficult or impossible to obtain with conventional production hosts. In parallel, we design and build advanced yeast cell factories. By combining
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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will develop high-performance quantum software technologies, with a focus on quantum compilers, scheduling and orchestration on parallel computing systems, including in distributed quantum computing
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multiomics and designed a targeted intervention to elicit such potential (Llorens-Bobadilla et al. Science 2020). In parallel, we also develop novel technologies for spatially-resolved multiomics (Llorens
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administrative duties within the department, faculty and university. The department uses Swedish and English in parallel. The professor should be able to perform the majority of their tasks in English. However, as
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learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place
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university. The department uses Swedish and English in parallel. The professor should be able to perform the majority of their tasks in English. However, as a public authority, the university has Swedish as