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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary
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Are you ready to lead a cutting-edge Genomics Core facility while developing state of the art genomics methods? Join us at EMBL! We are seeking talented scientists to develop and lead a cutting-edge
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms (AI) to analyze large imaging and molecular
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) for the project: Uncovering the evolution of metabolic interactions in intrinsically disordered peptides Project description While enzymes have specific binding pockets with well-known interaction residues
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
Evolution or Computational Biology (salary grade 13 TV-L, 100%) to commence on January 1, 2026. The position will initially be filled for three years. In case of a positive evaluation, the position can be
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& Development (f/m/d) The position (pay grade E 14/E 15 TV-L, depending on leadership experience, publication record and previous acquisition of extramural funding) will spearhead pre-clinical disease-model
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detectors (Partial) automation of detector characterization for more efficient analysis Algorithm development: Development of a correction method based on information field theory for atmospheric image
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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
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group focuses on developing strategies and algorithms to quantity biologic effects of particle radiation based on underlying physics, biology and physiology. Within the BMFTR funded project “BIOMICRO