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must be inferred from the data. The overall goal is to develop reliable and robust statistical methods that can contribute to scientific understanding and inform decision-making and public policy
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Statistics at Umeå School of Business, Economics and Statistics (USBE), is looking for a
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school, and taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a
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strong scientific background with relevant expertise in cell and/or molecular biology. Interest in programming, computational biology and statistic towards high-throughput data analysis is considered a
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Umeå University is one of Sweden’s largest higher education institutions with over 41,500 students and about 4,600 employees. The University offers a diversity of high-quality education and world
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to the leakage problem. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours. Qualifications To be qualified to take
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formats. Collaborate with research partners, clinical services, regional stakeholders and other partners, and contribute to training and communication activities. Prepare scientific manuscripts, present
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(NC). In the project, we aim to establish a reliable analysis package for nitrocellulose. Your role is to develop and validate methods for the key properties of NC – including degree of substitution
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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to develop cultivation methods for traditional pea varieties which have desirable traits in cropping (e.g. weed suppression and productivity) and as food source (nutrient content, taste, etc.) but