22 algorithm-development-"Prof" Postdoctoral positions at University of Lund in Sweden
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around 15 are PhD students. The work environment is open and welcoming, striving to provide each employee with the opportunity to develop personally and professionally. The field of solid mechanics relates
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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, bacteriophages. Prof. Hauryliuk obtained his PhD in 2008 at Uppsala University, Sweden. His scientific contributions were recognized though the Ragnar Söderberg fellowship in Medicine (2014), the Swedish Fernström
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for strategic development: materials research, integration of batteries with power electronics, and safe energy storage. This position is associated with the COMPEL platform located at the Centre for Analysis and
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of genomic sequences. Despite the growing availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based
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. Within the group, we value a positive working environment with respect and care in our interactions, and we strive for a workplace that is experienced as stimulating and developing for all employees. We
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research in immunology related to JIA. The main objective will be to investigate how immunological mechanisms and cells contribute to disease and arthritis development. The work will be carried out in close
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, generation of attosecond pulses and applications of these to the study of ultrafast phenomena in various systems. We are looking for one to three postdocs to develop attosecond pulse sources and to study
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are: a PhD, or an international degree deemed equivalent to a PhD, within algebra; the PhD must have been awarded when the appointment decision is made; good ability to develop and conduct research of good
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will include clinical and biomedical research projects. It will also involve methodological development aimed at combining imaging techniques and data analysis to provide a more integrated understanding