Teaching állások Németországban (it programozás, fejlesztés)

You teach fundamental knowledge with high practical relevance, e.g. for the topics user experience design, customer journey mapping, usability evaluation and information design....

You teach fundamental knowledge with high practical relevance, e.g. for the topics hardware design, assembly programming, memory management and concurrency, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics web application development, Java programming, software requirements engineering and web application testing, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics software testing, quality management, requirements validation, and process quality assurance, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics enterprise architecture, IT security, ERP implementation and cloud computing, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics web application development, Java programming, software requirements engineering and web application testing, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics penetration testing, threat modeling, cybersecurity auditing and information security management systems, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics cybercrime investigation, digital forensics, attack vectors and cybersecurity threat analysis, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics IoT architectures, communication protocols, edge computing, and connected devices, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics cryptographic algorithms, symmetric and asymmetric cryptosystems, network security, and authentication mechanisms, and are responsible for correcting exams....

You teach fundamental knowledge with high practical relevance, e.g. for the topics technical specifications, interface design, business object modeling, and quality requirements, and are responsible for correcting exams....

Our goal is to attract postdoctoral researchers and enable them to conduct their research with the mentorship of a PI. We expect that within the duration of this contract, candidates will be able to achieve independent achievements in research, e.g through publications or joint research endeavours....

• Develop computer vision models to analyze surgical videos, including action recognition, instrument usage, and relevant interactions
• Build and annotate a suitable dataset in close collaboration with other project staff; develop annotation and quality-assurance tools

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

• Conduct empirical and theoretical interdisciplinary research on legal question answering in German laymen questions
• Design and execute state-of-the-art NLP experiments and user studies
• Independently analyze qualitative and quantitative data

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

• Develop data schemas for the standardised exchange of medical research data
• Conceptualise and implement electronic data collection forms and advance existing processes for data collection and data curation

• development of computational methods and processing pipelines for large image datasets
• application of existing and development of new analytical and ML solutions
• data visualization and communication
• work in close collaboration with our medical collaboration partners