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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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timings) affect the metabolome and proteome of rapeseed seeds. Your findings will serve as molecular fingerprints to support Deep Learning models for hybrid development. Whom we are looking for: An early
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-scale controllable, and cost-efficient disease models by bringing together experts in physical chemistry, physics, bioengineering, molecular systems engineering, machine learning, biomedicine, and disease
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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or postgraduate degree with focus in cellular and molecular biology, gene editing, human stem cell biology, hematopoiesis and leukemogenesis Experience with gene editing technology, HSC culture, and in vivo models
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planning, execution, and analysis of comprehensive experiments in the field of translational hematology/oncology Application and further development of state-of-the-art molecular biology methods, including
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supportive workplace Your activities and responsibilities: Conduct a translational research project in the field of tumor immunology Apply and further develop cellular and molecular biology methods Work with
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experience with multiscale modelling of materials - previous experience with molecular dynamics simulations Applications should be sent by e-mail, together with significant documents, indicating the reference
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Postdoctoral Researcher (gn*) Life Science Reference Number: 10899 Fixed term of 3 years | Full time with 38,5 h | Salary Grade TV-L E13 | European Institute for Molecular Imaging We are UKM. We
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transcriptomic and single-cell analysis of organoid models and patient biopsy samples. What you bring to the table PhD in biology, biochemistry, molecular biology, cell biology, immunology, or related discipline