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corresponding knowledge. You are expected to work in a research laboratory focusing on grief, with emphasis on neural and psychological mechanisms. Experience with experimental work, particularly behavioral tasks
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robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results through publications and
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, your work will explore key aspects of telomere dysfunction, including DNA end processing, chromatin dynamics, and repair outcomes. The research will be experimental character, including cell culture
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to include a letter of motivation detailing research interests and expertise and a CV. Previous knowledge of genome stability and CRISPR/Cas9 methodology is required. In addition, you should have experience in
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is strongly advantageous if you have excellent study results, a solid background in mathematics and statistics, and strong motivation in theoretical and methodological research. Experience with
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of machine learning such as robustness, fairness, and accessibility. You will design and run reproducible experiments, measure relevant resource metrics, implement prototypes in Python, and communicate results
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, numerical analysis, approximation theory, or equivalent subjects. Alternatively, you have gained essentially corresponding knowledge in another way. Candidates should have experience in the following
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the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational environments, such as the Visualization Center in Norrköping. The goals
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communication abilities. A solid background in cell biology, neurobiology, tissue models, or in vitro experimental systems is considered a strong asset for this position. Experience with one or more of the
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the date above will not be considered. We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value