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cycle. The data extraction will be based on existing machine learning development made by the team, in particular the use of quantile regression neural networks. There exists no other measurements
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experiments. Experience in automating and standardizing BioSAXS workflows, including the development of data-collection pipelines and user-friendly graphical interfaces. Proficiency in interpreting BioSAXS data
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designing and building research environments, particularly those supporting data-intensive workflows A documented significant contribution to the development of a scientific software during the last three
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for this job through MathJobs.Org right now. Please apply at https://lu.varbi.com/en/what:job/jobID:901260/iframeEmbedded:0/where:4 . Contact: Eskil Hansen Email: Postal Mail: Lund University Centre
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Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With
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to the development and use of new in vitro model systems for neurodegenerative diseases and brain cancer. The group is led by Henrik Ahlenius and includes 3 postdocs, an associate researcher, and a number of master’s
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mathematical theory and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive
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DNA unit, you are part of a team that includes staff at Stockholm University, and is part of a research environment that includes the Human Evolution research program at Uppsala University and the
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entitled “Microstructural evolution, fatigue and fracture in metals from advanced manufacturing for long-term operation of nuclear reactors”. The research environment is funded by the Swedish Research
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Ph.D. student you will use advanced bio- and hydro-metallurgical techniques for the development of new extraction routes for an efficient and low-carbon recovery, mainly focused on critical and strategic