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- Technical University of Munich
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- Chair and Institute of Man-Machine Interaction
- Cluster of Excellence PRISMA++
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) is required Desirable Qualifications: Experience with distributed temperature sensing (DTS) Experience with the use of heat as a hydrological tracer Experience with interacting with sensor hardware and
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-compatible hardware) Experience in conducting and analyzing cognitive neuroscience experiments Knowledge and skills in multivariate statistics and the measurement of change Familiarity with one or more of the
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instrumentation is highly desirable Experience with detector systems, motion systems, and experimental hardware is advantageous Knowledge of catalysis, energy materials, or hydrogen technologies is beneficial but
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of experience-dependent behavioral change Readiness to contribute to task development (e.g., scanner-compatible hardware) Experience in conducting and analyzing cognitive neuroscience experiments Knowledge and
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wall-clock time on available hardware. Thirdly, the quest of generality, namely the ability to simulate a variety of flows within a single software package has been a target in the development
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assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
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University Competence Center (UCC; https://ucc.tum.de/) at the TUM to assist in the hardware/software maintenance of ProteomicsDB, with the option to receive a proof of work with SAP HANA. TUM is one
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scientific questions from all branches of the life sciences. He/she will be responsible for all activities in bioinformatics within BayBioMS including IT hardware and respective software. He/she will manage
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well as in quantum coding theory ▪ Interest in theoretical work with high practical relevance ▪ Interest in demonstrating research results on a hardware platform ▪ Software: Experience with MATLAB, C++, Python
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the potential of “small” models embeddable to custom hardware. Together with students, we aim to set up a few demonstrator platforms for artificial intelligence in a mobile setting, e.g., on board of drones