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Field
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on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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aligned with the aims of the Terascale project. Develop and apply suitable methodologies for research for AI for science and catalyst discovery. Design, implement, and evaluate novel models, algorithms
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++ programming ● Problem solving skills and ability to think algorithmically ● Excellent interpersonal, verbal, and written communication skills Preferred Qualifications Equipment Utilized Workstation/laptop
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sovereignty, and cyber-electromagnetic resilience. The PhD researcher will primarily work within Tilburg University’s AI research infrastructure, focusing on algorithm development, model training, and
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and support all aspects of the research project. Carry out algorithm development and data analysis, including (but not limited to) single-cell and bulk transcriptomics, spatial omics, proteomics, and
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, retrain the stimulation-control algorithm for stroke-specific gait, and evaluate usability, comfort, and fit during prolonged use. You will also initiate adaptable, IMU-based stimulation control
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multimodal algorithm of epigenetic blood predictors of the clinical benefit of SBRT in immunotherapy-resistant tumors Research Line: IBIMA-BE-17 CLINICAL, MOLECULAR, AND TECHNOLOGICAL RESEARCH IN RADIATION
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Desirable: Good understanding of the EHDS ecosystem, TEHDAS 2 guidelines, and related regulations Experience with AI programming tools and algorithms using Python and R Experience working with OHDSI tools and
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technologies across a wide range of electrical machine topologies and applications. This includes research into permanent magnet and non-permanent magnet machine drives, high- performance control algorithms