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The job duties will be the following: Design and fabricate CMOS analog and digital circuits; Support analog, digital, and mixed-signal design teams throughout the design cycle, from schematic to layout
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simulators; electrical/electronics background with specialization in neural networks/mixed/analog signals and research papers demonstrating expertise in any of the above areas. Salary: $90k - $120k + stock
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will be compared to natural prototypes (e.g. in Asia or western North America) and analog models, with emphasis on the implications for structural models needed for energy geoscience. Key skills include
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of the work is to design a low speed wireless link without using any analog component and to associate tools to identify an IoT module and to detect hardware attacks in real time during the communication
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portable dataloggers (or analogous geophysical sensors) and continuous monitoring workflows. Background in UAS/drone mapping. Numerical modeling skills. Familiarity with coastal water-level/wave datasets and
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at the interface of quantum many-body physics and quantum information science. Specific topics of interest include dynamics in closed and open quantum systems, digital and analog quantum simulation with quantum
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transformations, and creative, novel synthesis strategies for the concise and efficient preparation of bioactive complex natural products and analogs thereof. The postdoc will also serve as a mentor to junior
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topics: Waveform design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal
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abstract or mathematical concepts into intuitive frameworks and analogies, creating interpretable models and clearly explaining complex results to an interdisciplinary audience. Skill in modeling
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Institut de Recherche pour le Développement (IRD) | Toulouse, Midi Pyrenees | France | about 1 month ago
geography and sociology approaches. GET encompasses 7 research teams mobilizing complementary skills in spatial and in situ observation, numerical and analogic modelling, and laboratory experimentation