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Job description The Discrete Mathematics and Optimization group within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of combinatorics
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operating procedures, financial requirements and objectives, and maintains optimal operating levels for building systems (HVAC, electrical, plumbing, cleaning, security, life safety) and campus infrastructure
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, determination of optimal embeddings and encodings for protein structures, multiple structural alignments, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure
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, determination of optimal embeddings and encodings for protein structures, multiple structural alignments, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure
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Thin-film fabrication, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements
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. You are proficient in the development, training and application of machine learning models and have expertise in the use of scikit-learn, Keras and Tensorflow for model construction and optimization
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documents for accessibility. Review and optimize website content using SEO best practices, including headings, links, metadata and content structure. Assist with website content audits by identifying outdated
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out the synthesis of various types of hydrogels and will contribute to the structural and mechanical characterization of the resulting materials. In addition, they will conduct separation processes
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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design
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artificial intelligence, but their growing computational and memory demands make efficient deployment essential on resource- and energy-constrained platforms. The project will study how optimization methods