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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
Assistant Professor (Associate Senior Lecturer in the official Swedish translation) at Lund University. You develop your qualifications over a period of 5 years and the position is tenure track with
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duties Employment as an assistant professor is a tenure track position, which aims for the holder to develop their independence as a researcher and educator. The work duties mainly involve research and
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Uppsala University’s tenure track system grants assistant professors the possibility to be assessed for promotion to the position as associate professor. The university provides support in various
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artificial intelligence, as well as a track record of translating such findings into practical applications for end-users. The position is funded by the Swedish Research Council and is part of the project
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employment: Karlskrona Employment level: 100% Commencement: To be agreed. Duration: Tenure track; initially 4 years with a right to be promoted to a permanent senior lecturer position when the assessment
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essential. Work duties Employment as an assistant professor is a tenure track position, which aims for the holder to develop their independence as a researcher and educator. The work duties mainly involve
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competitive research program that has the potential to positively impact the UN 2030 global agenda. Instead, applicants should submit a written summary describing their overall objectives and rationale, along
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summary describing their overall objectives and rationale, along with details of their planned work and its potential impact. Pedagogical expertise The pedagogical expertise for employment as associate
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also expected to contribute to the innovation processes carried out within the framework of Tech Borås, which may also constitute a central empirical object of your studies. techboras.se The direction
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for precision medicine within oncology. You will develop interpretable deep learning models of tumor microenvironments from tissue images and spatial omics data. The project objective is to develop implementable