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infection with malaria. In addition, the interaction between humans and disease vectors will be investigated to elucidate the mechanisms by which vectors identify and discriminate between healthy and infected
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, and how they interact with cells in health and disease. About the research project The Esbjörner lab focuses on understanding protein aggregation in neurodegenerative diseases, primarily Alzheimer's and
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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transcriptomics and genomics datasets. The goal is to identify molecular and spatial signatures of disease progression both in human samples and in experimental models of diabetes. Qualifications: PhD in
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life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal
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due to illness, parental leave, clinical service, appointments of trust in trade union organizations, or similar circumstances. Requirements A PhD (or equivalent foreign degree) in a relevant discipline
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postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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the duties. The overarching goal of this research program is to uncover fundamental molecular principles governing membrane protein function, particularly how interactions with subunits, auxiliary proteins
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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in