486 developer-"https:" "https:" "https:" "https:" "https:" "Naturalis" positions in Sweden
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Field
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Join an international research environment developing the software infrastructure needed for next-generation fusion modelling. You will work at the interface between scientific computing, high
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. Work duties In this position, you will be responsible for the development of nanowire solar cells for space applications. The ZEUS project focuses on advancing the development of innovative and radiation
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Research Group at Karolinska Institutet investigates how the human central nervous system develops, how these programs are disrupted by injury and disease, and how they can be harnessed for regeneration and
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coordinating unit for Lund University's InfraVis node, consisting of around 10 people with complementary expertise. InfraVis and CIPA provide all employees with professional development opportunities and strive
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Description of the workplace The postdoctoral researcher will join the Protein Evolution research group, led by Gemma C. Atkinson, at the Department of Experimental Medical Science, Lund University
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for the development of nanowire solar cells for space applications. The ZEUS project focuses on advancing the development of innovative and radiation-resistant nanowire solar cells with high efficiency. While current
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technological development. As a PhD student in this project, you will operate and evaluate different laboratory-scale biogas processes with the aim of optimising both biogas production and biofertiliser quality
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representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data