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. Structural Biology/Inference: Familiarity with HLA inference algorithms and epitope prediction models. Cloud & HPC: Experience interacting with High-Performance Computing clusters (LSF) and strong experience
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techniques, as confocal microscopes, are widely used in biology for cellular and sub-cellular structures investigation. However, their spatial resolution is limited by the light diffraction phenomena and it is
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information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities . Salary depends on seniority as agreed between the Danish
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, dedication, and a passion for making a difference through basic research In addition, we are looking for • Interest in translational immunological research • Ability to work on complex problems in a structured
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regarding experimental protocols and data analysis. Maintain, troubleshoot, and upgrade analytical instrumentation. Oversee facility operations and technical staff, including budgeting, pricing structure, and
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the strategic collaboration with the Life Science Center that brings together expertise in fields ranging from neurobiology and structural biology to oncology and synthetic biology. With internationally
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senior faculty and structured career development A collegial culture that values team science, openness, and impact Candidate Profile & Expectations Applicants should hold a Ph.D. and/or M.D
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organizing/publishing software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities
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-of-the-art infrastructure and collaboration with experts in food structure, technology, and sustainability Opportunities for career development and international networking A strong support system for academic
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and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish