Sort by
Refine Your Search
-
Employer
-
Field
-
against dynamic loads and fire impacts Research and development of AI-optimized, energy-efficient and sustainable small-batch gasification technology Development and Investigation of Wide-Bandgap
-
learning, optimization, training pipelines, evaluation metrics, and validation strategies. Experience with multimodal AI (CV, NLP, tabular, sensor or IoT data). Familiarity with MLOps, versioning tools
-
. Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases (FAISS, Milvus, Pinecone) and embeddings. Excellent understanding of deep learning, optimization, training pipelines
-
the ability to optimize chemical structures and predict their energy levels and spatial charge distribution; Extensive experience in the synthesis of novel organic semiconductor structures for use in OLED
-
optimizing data-driven solutions, machine learning models, and artificial intelligence systems applied in business and technological environments. Additional Information Benefits Meaningful work at KTU – one
-
semiconductors and emitters and their application in optoelectronic devices as well as optimization of the characteristics of the devices. The research seeks to utilize emission mechanisms discovered in recent