321 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at Nature Careers
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postdoctoral fellow to study HIV-1 vaccine immunology. We use an interdisciplinary approach combining structural biology, molecular biology, biochemistry, and immunology to generate insights that can be
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histories, the investigation of natural selection, for example in the context of disease resistance, the estimation of kinship and social structures, and the development of population genetic methods
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well as institutional and structural factors that shape educational paths. Our research is multi-perspective and interdisciplinary. It combines pedagogical, psychological and sociological approaches and examines
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
/m/d) on Generative AI for de Novo Protein Design. Your tasks # Design of generative AI models (e.g., VAEs, GANs, Diffusion Models) to create novel protein sequences, fold structures, and functional
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, procurement and import/export issues Support for the further development of scientific and technical infrastructure, including associated construction and procurement processes Communication management
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expertise in genomics, functional genomics and cell biology, proteomics, cutting-edge microscopy, structural biology, technology development, and bioinformatics. VIB provides a highly interactive environment
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sustainability transitions Proficiency in qualitative research methods, e.g. semi-structured interviews, focus groups, stakeholder mapping Strong teamwork skills, scientific curiosity and a high level of intrinsic
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workshops and plain-language communication materials Co-facilitate workshops together with ethicists, communication experts, and institutional partners Help synthesize participant feedback into structured
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during cell state transitions in health and disease; (ii) how RNA/DNA secondary structures contribute to DNA repair. Using CRISPR screening, we have identified novel RNA/DNA helicase effectors of DSB
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large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics