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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
insights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods
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astroparticle physics, particle physics, and mathematical physics. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on large-scale cosmic structure, microwave and infrared
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(δ¹³C) with continuous monitoring of microclimatic data (soil and air temperature and humidity) to quantify ecosystem responses to anthropogenic disturbances. The proposal is structured around 3
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Postdoctoral position to study Polo kinase and centrosome abnormalities in cancer and other diseases
or HIV accessory proteins, is tightly linked to the development of aneuploidy and cancer. During the past several years, we have been taking cell biological, biochemical, biophysical, and structural
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Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P) in Laayoune City, south of Morocco. It constitutes a structure of applied research with a vision of solving real
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transversal structure across several UM6P Programs. Research within the center is organized around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special
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regulatory RNAs. Characterization of RNA devices by structural biology methods such as cryo-electron microscopy (cryo-EM) and tomography (cryo-ET). Testing and screening of RNA devices by functional assays in
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available