Sort by
Refine Your Search
-
development of knowledge graph techniques to integrate and analyze the data generated by simulations, experiments, and machine learning methods. The research tasks include: Investigating suitable
-
economics or related disciplines • Knowledge of quantitative approaches and experimental research • Strong motivation to publish in leading international peer-reviewed journals • Fluency in written and spoken
-
of human health, biodiversity, nature and the build environment • Proactivity, creativity and excellent communication skills • Organized and structured working style • Good knowledge of project management
-
photoanode-photocathode systems for photoelectrochemical solar fuels synthesis. CO2 UPLED is committed to a knowledge-based approach to interface design, aiming to strategically integrate novel thin-film
-
projects. Ideal profile: Academic and Technical Qualifications: Possess an above average Master's degree in Electrical/Power Engineering or a related discipline, with deep knowledge of energy technologies
-
Advanced software development and data analytics skills Hands-on mentality with first practical experience in developing innovative technology Inquisitive and passionate about research and knowledge transfer
-
requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
-
expertise to advance the RISC-V architecture to applications in high-performance computing and efficient network communication between nodes in general. Qualification - Knowledge on C/C++, Assembly, Computer
-
mathematical and/or coding background. You must hold a master’s degree in Computer Science, Electrical and Computer Engineering, Mathematics, or similar. Knowledge in machine learning is desired. We are looking
-
thinking, confident demeanour, motivational skills · Excellent written and spoken English and Spanish skills · Good knowledge of Microsoft Office · Good knowledge of economic statistics and life cycle