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working within the Master in Architecture under the supervision of Prof. Dr. Florian Hertweck. Your role Collaborative and individual research on the socio-ecological transition in architecture and urbanism
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
the centrosomal architecture and function, the deregulation of which can lead to the development of various human diseases, including cancers, microcephaly, and AIDS. For additional information, please visit https
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, secure query handling, and auditable, governance-aware software architecture. The project is situated at the interface of software engineering, biomedical data science, metadata integration, and AI
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of new reactions, methodology, multi-step synthesis, or synthesis of complex molecular architectures. Clear scientific interest in developing new reactivity and innovative synthetic concepts in organic
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on bacterial heterogeneity, microbiome interactions, antibiotic response, and genome architecture. Our group develops and applies cutting-edge bacterial single-cell RNA-seq platforms, long-read sequencing, and
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analysis tools Investigating channel impairments, propagation effects, and mitigation techniques Designing and evaluating transmission schemes, signal processing algorithms, and communication architectures
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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM
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that methodological advances are developed with direct translational and scalability considerations. Responsabilities: Lead the development of hybrid foundation model-graph neural network architectures for gene
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www.spacer.lu Your profile Strong understanding of spacecraft subsystems, servicing missions, or robotic operations Experience with spacecraft Health Monitoring or FDIR architectures Knowledge of ESA SAVOIR
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inversion methods (LUT and hybrid approaches) Profound knowledge in machine learning and deep learning methods for remote sensing applications, including architectures such as CNNs, LSTMs, and Transformers