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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 1 day ago
). The partner organizations of GWSky are the Niels Bohr Institute in Copenhagen, the SISSA (Scuola Internazionale Superiore di Studi Avanzati) in Trieste, and the University of California, in Los Angeles
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. For the development and implementation of new algorithms in the field of 3D model generation, scene design and visual effects and in the development of AR/VR applications, we are looking for committed, independently
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way and integrate a large number of different sensors. The data evaluation and modeling of the process will then take place in Python. This involves, for example, the construction of modular systems
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satellites for communication with laser beams, in pump light sources, and, more recently, in quantum communication and sensor applications. The development of lasers combines photonics, high-frequency
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strategies, and cross-functional collaboration — shaping the future of quantum computing. We holistically address business-relevant challenges using innovative quantum computing algorithms and demonstrate
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laboratories and testbeds for optical communications in Europe and maintains a complete library of optical communications digital signal processing algorithms. We are recruiting students in the field of digital
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/GaN HEMTs, vertical GaN MOSFETs and diodes, as well as GaN-based MEMS, sensors and microelectronic devices, and the development and adaptation of processes for the reliable production of these. What you
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dynamics or Hamiltonian eigenstates with classical and quantum algorithms Comparison of quantum algorithms with classical baselines Analysis and documentation of results What you bring to the table Student
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/aptamer-sensors Your Profile: Bachelor`s degree (or equivalent) in the field of biomedical engineering, biotechnology, chemistry, or similar Hands on lab experience developing biosensors/sensors is required
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revolution is increasing the flexibility of industrial production and optimizing it by linking traditional production with new technologies such as IoT sensors, edge and cloud systems. This heterogeneous