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This position is also closely related to the Vinnova competence Centre for III-nitride technology, C3NiT (c3nit.se). The project involves designing advanced circuits and systems based on III-V and CMOS process
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studies atmospheric aerosol particles and their impacts on climate and air quality using in-situ and satellite measurements, process modelling, and global modelling. The group is part of the strategic
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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
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. The candidate will collect and process the retinal and optic lobe tissue from each animal. They will then work with colleagues at Lund and international collaborators to establish single-cell or single-nucleus
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laser pulses, develop attosecond pulse sources and to study ultrafast processes in semiconductor nanostructures using electron instrumentation. The position(s) imply the development of ultra-short pulse
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governance, marginalisation of traditional knowledge, and limited access to decision-making processes—and offers pathways to more just and effective adaptation strategies. This research uncovers how IPLC s
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. Understanding of the processes involved in translating research findings into innovation and practical applications. Knowledge of ovarian cancer tumor biology, and practical experience from working with ovarian
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and operation of mass spectrometers (MS), as well as multi-omics data integration and analysis. Detailed description of the work duties, such as: Research and optimization of acoustic cell sorting
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. Merits for this position: PhD acquired within three years of last application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context