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of working remotely (from home) for part of your working hours. Job description: • Participation in research, teaching, and administration of the Media Effects Research unit • Working in the field of empirical
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needs as well as the ability to work in teams Desirable qualifications Knowledge of German Special knowledge in one of these areas is a plus: HPC (e.g., Workload Scheduler, CUDA, Infiniband) Storage (e.g
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designs for electrochemical reactors. What you will do Literature and patent research Production, assembly and characterization of fuel cell components Formulation development of conductive polymers
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and train CNN and SNN models utilizing frameworks such as Keras, PyTorch, and SNNtorch Implement GPU acceleration through CUDA to enable efficient neural network training Apply hardware-aware design
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types. Your tasks will encompass the following areas: Getting acquainted with NRMM conventional and alternative powertrain components, operating profiles and explore their interactions under various
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, computer graphics, 3D modeling, simulation and cognitive systems. Become a part of our team and join us on our journey of research and innovation! What you will do Participation in exciting scientific
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PhD Student (gn*) Reference Number: 10754 Fixed-term of 3.5 years | Part-time with 65% (25 hours/week) | Salary according to TV-L E13 | Clinic for Radiology / Translational Radiology Group and
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actual stress of helicopter components using a data-based as well as a physics-based approach. In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed in
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in soil processes related to soil GHG fluxes, however, the fauna exact impact on those fluxes is poorly known yet, and is a missing factor in soil GHG fluxes models. BoTiKI aims at filling
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the integration of both Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs). This position will involve training and optimizing these neural networks using Python frameworks, including CUDA