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queries within embedded knowledge graphs. It will involve designing or adapting efficient indexing structures tailored for vector databases and exploring hybrid neurosymbolic techniques to enhance query
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approaches based on antibiotic vectorization for the destruction of bacterial biofilms. The general aim of this project is to characterize the relationship between the intensity and type of ultrasonic
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Climate change impacts on human health through a multitude of pathways, leading to a range of negative health outcomes, such as heat stroke, cardiovascular issues, PTSD, asthma, and vector-borne
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Gene expression modulation CRISPR/Cas9 (including knock-out, knock-in, CRISPRa, CRISPRi, viral vector systems) Next-generation sequencing (RNA-, ATAC-, ChIP-Seq, CUT&RUN, Hi-C and others) Pulldown and
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programming (Matlab and/or IgorPro). Experience using and programming ImageJ or another image analysis software. Molecular biology and/or experience with the use of viral vectors is a plus. Online Application
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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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construct novel CAR-T cell therapies, including vector design, gene editing, and the development of innovative receptor constructs. In Vitro and In Vivo Studies: Conduct a wide range of experiments to assess
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become experts in hardware-based trust mechanisms, secure AI integration, and attack resilience. The experience of working with real attack vectors, cryptographic primitives, and tamper-evident
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experiments Design guide RNAs and use CRISPR for gene editing Design AAV vectors for gene therapy on mouse models Capture fluorescent images and quantify data Purify proteins and perform western analyses