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: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
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: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
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, evolutionary theory, quantitative genetics, data science, toxicology, and law. Within this project, our group at the CRG focuses on the analysis of bulk and single cell RNA-seq from five different model species
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. Delegating lab tasks to ensure deadlines are met. Reporting to PI regularly on key metrics (including budgets) for priority projects. The successful candidate must have: a PhD degree in biology, biomedical
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to communicate and coordinate efficiently with partners from complementary fields (e.g., catalysis, spectroscopy, data science). Fluent in English (spoken and written). Summary of conditions: Full time work (37,5h
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and energy saving for the smart urban built environment, etc.) Hydrogen energy Fuel cell/flow battery Waste water treatment Energy economics, policy and security, environmental and social impacts
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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models that are more efficient, inherently multimodal, and capable of processing information at an unprecedented scale. Key research questions include (but not limited to): Non-Autoregressive and Diffusion
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, such as biology, chemistry, physics, neuroscience, applied physics, data science, bioengineering, chemical engineering, computer science, electrical engineering, materials science, neurology
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starting date: September 2025 Requirements PhD degree in molecular and cell biology or related field. Valuable experience: BBB cell models, cell trafficking, proteomics, bioinformatics, synthetic biology