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research efforts are needed for rapid progress. About us Chalmers University of Technology is a leading university with excellence in industrial digitalization and manufacturing. The Division of Production
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experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
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material derived from ex vivo sources. Description of the workplace The Molecular Biophysics group is in the Department of Experimental Medical Science within Lund University Faculty of Medicine, and is led
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degrees, competencies, and experiences are considered a merit: Master or Master of Science degree in software engineering, data science, AI, or computer science. Documented experience in professional
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process and disseminate information about opportunities: from identification of suitable major calls and grant opportunities (especially international, and especially within the EU Framework Programme, now
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modelling at both catchment and road scales, incorporating input from relevant stakeholders.The candidate will gain extensive knowledge in hydrological modelling, climate adaptation, road engineering, and
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, competencies, and experiences are considered a merit: Master or Master of Science degree in software engineering, data science, AI, or computer science. Documented experience in professional software development
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application! We are looking for a PhD student in Medical Science. Your work assignments As a PhD student, you will participate in the project: Predictive markers for chemotherapy-induced toxicity in childhood
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Lund University Visiting Professors Programme Lund University invites expressions of interest for its Visiting Professor Programme. We seek individuals eager to engage with our vibrant research
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, or computer science. Documented experience in professional software development, being experience in software testing a plus. Documented experience or interest in Artificial Intelligence and Machine Learning