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producing functionalized pyoverdine, which can then be conjugated to different molecules (for example, antibiotics) to develop targeted vectors or to explore new properties of the siderophore. In this context
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know-how • Solid experience in molecular biology (cloning, mutagenesis, vector design) and protein biochemistry. • Experience in biophysical analysis and structural biology. • Experience in mammalian
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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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machine control theory Programming in MATLAB, Python, C++ Working knowledge of optimization theory Knowledge of vector calculus and linear algebra The candidate should submit a research proposal for the
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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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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 1 month ago
algorithms for environmental predictions (e.g. Random Forests, Support Vector Machines, K-nearest neighbors), as well as unsupervised algorithms for clustering (e.g. K-means, DBSCAN) Experience in extracting
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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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therapeutic strategies will be developed together with these and our own spin out company Neurospector. All the methodology, cell models, equipment, analysis software and viral vectors are available from
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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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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