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-quality scientific articles, and (3) take part in discussions Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level The position is
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, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative
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biochemical flux and pathway regulation. The RIBOTICS project involves a team of 3 postdocs and 3 PhD students, who will work on design, characterization, and experimental verification of several RNA systems
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a team of 3 postdocs and 3 PhD students, who will work on design, characterization, and experimental verification of several RNA systems that can regulate gene expression, control enzyme proximity
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primary research areas: 1) statistical inference in high-dimensional and large-scale testing scenarios; 2) the development of novel model architectures for large-scale proteomics data; and 3) causal
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technologies to assess the multicellular environment within three-dimensional microtumor models. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural
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qualifications You will lead the computational and AI-driven aspects of the project. Your responsibilities will include: Designing and implementing state-of-the-art deep learning architectures for protein
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 1 month ago
, and environmental structure, with a particular focus on ring attractor networks—a conserved neural architecture implicated in navigation and spatial representation across diverse taxa. These circuits
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. The project focuses particularly on understanding how the tumor microenvironment (TME) undergoes architectural remodeling – including changes in extracellular matrix composition, tissue mechanics, and spatial
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to microelectronic devices and low-power, three-dimensional, non-von Neumann computing architectures. You will utilize ORNL’s unique ultra-high-vacuum, glovebox, and ambient atomic force microscopy capabilities