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Field
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of LLMs to accelerators, specifically, use of agentic AI to support intelligent system analysis, aid operator decision-making, automate complex workflows, and enable more adaptive approaches to machine
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Package Requirements Faculty/Administrative Is driving a vehicle (e.g. Bowdoin vehicle or off road vehicle, rental car, personal car) an essential function of this job? No Is a pre-placement physical
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applications in linkage with incubation and start-up ecosystems. About CBS: The Chemical & Biochemical Sciences Green Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University
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these critical cellular processes. You will lead independent research, design and perform innovative experiments using biochemical and structural biology approaches, analyse complex datasets, and contribute
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computation, or phylogenetic inference, as applicable to microbiomes and human-microbiome interactions, such as outbreak-related strain reconstruction, or phasing and assembly of complex immune-system loci
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Description Here’s a Glimpse of the Job Texas A&M’s Department of Statistics is seeking a Postdoctoral Research Associate to develop advanced computational methods and collaborate with life science researchers
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; geometric or topological deep learning; higher-order network science; graph machine learning; or statistical physics of complex systems. Strong programming skills in Python and experience with modern
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
Job Code: 18/2026 Job Offer from August 18, 2026 A fully funded postdoctoral position is available in the Structural Cell Biology group led by Dr. Katerina Naydenova at the Max Planck Institute
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description