Durchführung der Übungen in Form von Übungsvorlesungen und Programmbetreuung; Sprechstunden für die Studierenden; Vorbereitung; Abhaltung und Korrektur der schriftlichen Prüfungen - in deutscher Sprache - Forschung im Rahmen des Instituts nach Bedarf und Absprache
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Full-time (38.5 hours per week), Graz (on campus of Graz University of Technology) - Job profile - Drive scientific advancements in battery safety, ageing mechanisms, and diagnostics. Develop, implement, and validate physics-based degradation models (e.g
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Land: Austria - Stadt: Gratkorn - Standort: Mill Gratkorn - Abteilung: Human Resources - Vertrag: Befristet - Schicht: Nein - Gehaltsspanne: TO BE UPDATED - Veröffentlichungsdatum: 05.11.2026 - Studenten - zur Erstellung von Bachelor-/Masterarbeiten oder
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You have or will shortly receive a master’s degree in any of the materials or machine learning sciences. The project requires knowledge of - programming (e.g., Python), - machine learning (e.g., GPT, deep learning, probabilistic modelling)
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Master‘s study programme in material science or related field - Good communication skills (D/E). - Basic knowledge of AI and LLMs - Programming skills - Interest in exploring process – structure – property relationships of materials. Tasks & Responsibilities
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The goal of the thesis is to understand the calendering process that battery electrodes go through during production … A proper material model choice will be key to model the porous composite structure and its interplay with the current collector
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Full-time (38.5 hours per week), Graz (on campus of Graz University of Technology) - Job profile - Drive scientific advancements in data-driven battery monitoring, safety assessment and prognosis. - Analyze experimental and real-world battery data to identify relevant patterns, anomalies and battery states
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In your Bachelor's or Master's thesis, you will work on practical topics at the interface of simulation, testing and vehicle development - in close cooperation with industry and research … Your Tasks - Evaluation of the motivation of SysML v2.0 compared to SysML1.x incl. roadmap and communities
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In this interdisciplinary environment, there is an opportunity to elevate the quality assurance of life-saving medical technology - to a new level of efficiency and precision … Ref.Nr. V_03 Bachelor-/Master’s Thesis … Data and ontology structure for CPS validation
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Vollzeit (38,5) oder Teilzeit | Standort Graz | PhD-Einstieg nach Master - Zur Verstärkung unseres Teams im Bereich Cognitive Production Systems suchen wir eine engagierte Persönlichkeit, die im Rahmen einer Dissertation (PhD) an praxisnahen KI-Themen forschen möchte
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