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for Interference-Based Brain Stimulation. The DC will develop the theoretical foundations and system designs for a self-optimizing and self-healing implanted communication network enabling transcalvarial networked
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will support two projects, one of which is “SMART-FLOW: Harnessing Multimodal Data and Machine Learning to Optimize Fluid Management in Intensive Care” and is funded by the Spark Innovation Programme of
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on the Research Ireland project RENEW. In this role, the successful candidate will be responsible for guiding the development, deployment, and optimization of hardware-software systems to ensure they meet user
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/ Telecommunications Engineering, Mathematics, or related field. Ability to conduct research in an academic or commercial environment. Expertise in optimization techniques, graph theory, distributed algorithms and game
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statistical methods. Proficiency in Python with libraries like NumPy, SciPy, QuTiP and Matplotlib for calculations, optimizations, quantum simulation and visualization. Flexibility to travel and engage fully in
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bioactive compound extraction, and bioactivity testing. *Experience in process optimization (response surface methodology or others). *Strong laboratory skills in analytical chemistry, and bio-refining
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for the following 14 PhD Positions (3-year contract starting September/October 2026): Position A Optimized IoRT network for enhanced data quality of IoRT cereals production practices. Aarhus University (DK
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dynamic models from information gathered form live networks become essential to manage network requests, while maintaining high availability and optimal resource utilization. One Post Doctoral researcher
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. Experience with common LLM AI / ML platforms and methodologies, such as Phi, Granite, LLama, and Mistral. 5. Proven experience in deploying, optimizing, and maintaining applications in a Cloud environment
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-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes that indicate bioprocess performance, could be quantified, automatically