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of Industrial and Mechanical Sciences. We have approximately 15 employees. Here we teach and conduct research in the field of logistics and supply chain management. Our research addresses various aspects
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, Cybersecurity, AI, Machine Learning (ML), Data Science, or another closely related subject, no more than three years before the application deadline; has documented knowledge of AI and ML; has demonstrated
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agents Experience developing infrastructure for machine learning workflows Experience contributing to open data platforms or large scientific databases Awareness of diversity and equal opportunity issues
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visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation, ability to quickly learn new
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security, networking and infrastructure, or related areas. It is meritorious if you have: Proven experience in competitively obtaining external research grants from relevant funders. The ability to teach
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of national significance. Learn more at datahub.aida.scilifelab.se . You will be active within the research community, participating in departmental activities such as seminars and workshops, contributing
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience
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and eager to acquire the relevant techniques over the course of the PhD. Solid working knowledge of cell wall integrity signalling in plants. Experience in RNA isolation from diverse organisms and
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to learn the required techniques. The following are considered advantageous: Experience with different model plants, including Arabidopsis thaliana. Familiarity with cell wall integrity signalling pathways
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and are happy to see a demonstrated ability to learn and adapt in a changing multicultural environment. The position can be adapted to the applicant's profile to some extent. Applicants with a