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including modelling to determine the localization, distribution, and potential on/off-target effects of ONs in vivo. The final aim is to gain know-how on how to optimize formulations for different
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to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
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is led by Johan Malmström, whose goal is to develop methods within proteomics to promote the implementation of precision medicine in sepsis. The group consists of senior researchers, postdocs, and PhD
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, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and experience in deep learning and generative AI is considered
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environments. The group consists of approximately 10 members including scientists, engineers and postdocs who are actively driving multiple in-house research/development projects, among which are time-resolved
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medicine in sepsis. The group consists of senior researchers, postdocs, and PhD students with expertise in clinical medicine, cell and molecular biology, proteomics, and bioinformatics. Within the research
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; they make sense to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project
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, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms
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, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and
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, signal processing and/or wireless communication. Basic knowledge of and/or experience in working with reinforcement learning/other machine learning algorithms Excellent command of spoken and written