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. Applicants must meet specific English language proficiency requirements. For further information see: www.universityadmissions.se In the recruitment process we will put great emphasis on the candidate’s
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for research that involves planning, sampling, reactor maintenance, overall laboratory work connected to biogas processes, data processing and writing scientific articles. You are expected to contribute to a
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and experiences. We regard gender equality and diversity as a strength and an asset. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-yr initiative funded with
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to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
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family life. Ideals and practices related to work and family are compared across different countries, social groups within countries, and over time. The project is based on survey data. Eligibility To be
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. These positions involve advanced numerical simulations and analysis of spacecraft data. The positions are full-time, 100% funded for four years and lead to a doctoral degree in Computational Physics. The expected
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publicly available datasets and in-house generated single-cell data. The research is performed in an interdisciplinary setting with close collaboration with mathematicians as well as experimental and
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software