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the DDLS program, which has four strategic areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information
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creating inclusive environments. Flexible and Supportive: Tailored training and career development designed to balance professional growth with personal commitments. State-ot-the-art Research: Engage in
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work across disciplines with a focus on practical use. You will work in an organization that gives you skills development and opportunities to be involved and exercise influence. Are you our new
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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
to the development of entirely new food systems, which in turn triggered population booms across mid-latitude environments worldwide. These momentous changes are often reduced to simple linear narratives that trace a
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demonstrated through experience in planning first-cycle education, leadership in academic development, and proficiency in educational administration. Further Details About the Appointment The position will be
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Biodiversity Subject description The subject concerns biodiversity in a wide sense; variation and evolution within species, between species and among communities across space and time. It includes the study of
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive, and
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interdisciplinary knowledge in the humanities and social sciences about AI and autonomous systems and their impact on human and social development. WASP-HS enables cutting-edge research, expertise, and competence
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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological