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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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, transcriptomics, bioinformatics, and advanced imaging. Within the research group, we value a positive work environment characterized by respect and consideration in our relationships. We continuously strive
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apply for a PhD position at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a leading position in both research and education at all levels. We
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be conducted through a series of clinical research studies and is closely linked to highly specialised stroke care and neurointerventional services. The PhD student will analyze and process large
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during the cellular response to DNA damage and how these processes safeguard genome and epigenome integrity. The successful candidate will combine cell biology, biochemistry, high-content imaging, and
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experiments; collecting data on crop growth, botanical composition, yield, forage quality and related plant and environmental variables; processing and statistically analysing experimental data; contributing
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considered particularly advantageous: Experience with cryo-correlative light and electron microscopy (cryo-CLEM). Experience with subtomogram averaging and/or advanced cryo-ET image-processing workflows
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Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost every process that
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the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and treat them. The Institute is
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machine learning with a physics-based understanding of the growth process. Doping and processing of ultra-wide bandgap semiconductors present challenges, but it can enable electronic devices with