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the field of pulmonary fibrosis using animal and primary cell culture models, single-cell, and spatial transcriptomics approaches. The successful candidate will be expected to build a publication record in
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approach. The successful candidate will leverage their expertise in economics, computing, and generative machine learning to construct scenarios semi-automatically. Responsibilities: • Conduct
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into clinical trial hypotheses and protocol design Build and maintain collaborative relationships with national and international epidemiological networks and cohort studies Lead and contribute to high-impact
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proteins, nucleic acids and their complexes through an integrative structural biology approach. The laboratory combines experimental and computational methods to understand biomolecular structure, dynamics
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developing formalisms for their interpretation (GMC structure, dynamical state, lifetime, formation, evolution), and/or ii) weighing the supermassive black holes lurking at galaxy centres using molecular gas
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consortium. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact
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wide-field camera system. You will be based at the University Observatory in Vienna and help build up the observing program, including taking observations yourself. The team observes mostly remotely from
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in mathematical modelling and Bayesian inference while learning from three collaborating chief investigators. You will also build your publication record and professional networks through seminars
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cancer genomes, and build predictive models that improve our understanding of tumour evolution and therapeutic vulnerabilities. This position offers an exciting opportunity to work at the interface
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will develop sustainable routes toward the synthesis and manufacture of novel biodegradable polymers. In turn, these new functional materials will be constructed from new monomers derived from renewable