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Job Description You have an academic background in synchronized LoRa mesh networking and a strong command of the STM32 embedded environment, and you want to apply both to a system that has to work
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RPTU University Kaiserslautern-Landau | Kaiserslautern, Rheinland-Pfalz | Germany | about 1 month ago
internationally connected research environment. In particular, the position is embedded in the Collaborative Research Center "Open System Control of Atomic and Photonic Matter” ( https://www.physik.uni-kl.de
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. Today, Artificial Intelligence (AI) – as the technical capability of a system ‘to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental
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embedded system, DSP, and multicore processor. Spirit and personal skill for collaboration with colleagues and industrial experts. Documented academic publications. What you will do Take courses at an
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perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and
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PhD candidates to join us starting between May (at the earliest) and September 2027! Our different research groups explore how the brain and nervous system develops, ages and functions in health and
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PhD candidates to join us starting between May (at the earliest) and September 2027! Our different research groups explore how the brain and nervous system develops, ages and functions in health and
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as NO2 (nitrogen dioxide), CO (carbon monoxide), and SO2 (sulfur dioxide). The methodology will be embedded into the data assimilation workflow of the European Air pollution Dispersion-Inverse Model