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for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings—are especially encouraged to apply
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working in interdisciplinary teams Clear record of communicating original results in writing and presentations Desired Qualifications: Knowledge of GPU architecture and experience programming GPUs
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» OtherEducation LevelPhD or equivalent Skills/Qualifications A doctoral degree (level 10 NFQ) in AI or a closely related field. High level knowledge of Agentic LLM architecture. At least two publications in a high
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the computer science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings
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biology. This NIH-funded position is available to study the role of nuclear pore proteins in the regulation of chromatin architecture during neuronal differentiation. The successful candidate will have a
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Job Description Real-time systems need to guarantee the timely execution of tasks. Furthermore, the whole system (processor, compiler, application software) needs to be analysable for the worst-case
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be found at https://www.iit.edu/applied-math . Illinois Tech is a private Ph.D.-granting research university with world- renowned programs in engineering, architecture, the sciences, humanities
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                Centro de Estudos Filosóficos e Humanísticos (CEFH) | Universidade Católica Portuguesa | Portugal | 11 days ago
objectives: Analysis and identification of different models of subjective well-being (SWB) and design of the SWB matrix. Design and definition of the platform architecture, namely the integration of the SWB
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foundation in distributed systems and communications. We are looking for candidates with: Strong software development skills for wireless communication systems and IoT technologies, with experience in
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transformer-based architectures to create a powerful tool for understanding and predicting bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models