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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
underlying cancer disparities and drivers. Opportunities available to T32 Postdoctoral Fellows - Mentoring by faculty with extramurally funded cancer control research programs - Networking with other post
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academic fields, Ghent University is a logical choice for its staff and students. It is home to the BioRefine Cluster Europe (www.biorefine.eu ), a network of international research and development projects
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data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and
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responsibilities The postdoctoral researcher will lead the technical and quantitative core of the project. Responsibilities will include: Developing, implementing, optimizing and troubleshooting immersive behavioral
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, and tuberculosis. Functional/ mechanistic validation of regulatory elements and gene networks controlling inflammation, immune memory, and tissue repair will be implemented using CRISPR inhibition and
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relevant microalgal strains with industrial potential. At UAntwerp, research focuses on optimizing cultivation processes with a specific emphasis on aerobic photomixotrophic metabolism, combining
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an emphasis on transitioning from bulk optics to integrated photonics platforms. • Operation and optimization of single- and entangled-photon sources (SPDC, quantum dots, NV/SiV centres), including cryogenics
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model classifiers (PLS-DA, random forest, neural network, etc) towards unraveling materials structure-function relationships, and are familiar with optimization approaches such as genetic search, Bayesian