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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a research assistant. The role
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will
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. Thus neuronal experimental data are to be analyzed for both aspects by PCA analysis and statistical multivariate methods to extract spatio-temporal spike patterns. Finally both results will be linked and
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and
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field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell data analysis
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to numerous satellite sites of care across the region with the goal of providing care ‘close to home’ whenever feasible (https://pediatrics.uchicago.edu/). Our mission is to improve the health of every child
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experience in RNA extraction and transcriptomic analysis • Experience in mast cell desensitisation protocols • Handling of flow cytometry and the FlowJo analysis software • Two scientific publications in
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Motor Researcher for the Mechanical Systems Modeling (MSM) Group. The Senior Electric Motor Researcher will perform analysis on electric motors and motor drive systems for gas centrifuges. In addition
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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consumption of less healthy foods. For related previous research using similar methods, see: https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(25)00143-4/fulltext https://pubmed.ncbi.nlm.nih.gov