Sort by
Refine Your Search
-
, characterization, and optimization of novel compatible electrolyte/electrode systems for the next generation Li-, Na- and Zn-ion batteries Supervisor: Linas Vilčiauskas, Electrochemical Energy Storage Group
-
the interactions between ink and fiber, optimize track architecture, and ensure long term functional stability. This research direction is highly promising due to its broad applicability in health monitoring, sports
-
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
-
integrate custom AI copilots and conversational agents. Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants. Document AI system designs, experiments, code, and processes
-
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