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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we are looking for The following requirements are mandatory: A doctoral
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. This involves formulation, implementation, and validation of novel hybrid models. The study emphasizes methodological innovation, scalable algorithms, and translation to industrially relevant multiphase reactors
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datasets Implement LLM and Machine Learning algorithm Conduct statistical analysis in SAS or Stata Assistant with other ad hoc tasks Required Education Bachelor’s or Master’s degree in computer science
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, reporting on channel performance and noteworthy trends. Monitor platform trends, audience behavior, best practices, and changes to algorithms and terms of use to identify opportunities for engagement and
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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
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of Ghent University (http://www.ugent.be/en ) and Ghent University Global Campus (http://ghent.ac.kr/ | http://www.ugent.be/globalcampus/en ) to learn more about our organizations. Center forBiosystems
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for this position is $107,100-$232,100, based on the current salary scale: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t3.pdf "Off-scale salaries” and other
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interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
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Reference Number AE2026-0030 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0030.pdf CALL FOR