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maintain a distributed environment for collaborative projects in machine learning (ML). The work involves collecting and processing data, setting up and configuring development environments, and providing
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, and machine learning. Duties Responsibilities may include: Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA
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Unix/Linux environment. Additionally, the applicant must be at least familiar with R. Experience with mainstream machine learning and statistical methodologies. Experience with scientific code
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applications in iNPH and dementia. Duties You will be working with neuroradiologists that will help you to deeply understand the clinical problems and come up with methods using machine learning and image
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publications in Nature, Lancet Digital Health, Radiology, MICCAI, among others. Our group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups
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the work at the university. Qualifications Required: Higher-education degree including subject specialisation (in-depth study of a subject) in computer science, computer systems or information technology
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-and-disciplines/department-political Duties As senior lecturer in history, you are expected to plan and teach courses at undergraduate and master’s level, requiring broad knowledge of history. Teaching
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biology and machine learning to study RNA life? Come and join us at SciLifeLab. Your mission The available research engineer position concerns developing and applying novel genomic approaches to study gene
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. Desirable and meritorious: Postdoctoral experience. Practical experience in multivariate statistics, machine learning and statistical modelling. Experience in teaching and development of teaching material
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must be relevant to the subject matter and the duties that the position involves. To be eligible for the position, you must have a documented ability to teach in Swedish and English. Assessment criteria