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various data acquisition and analysis techniques (e.g., representational similarity analysis (RSA))-Dynamic, interdisciplinary, and international research environment within the Institute of Systems
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-distortion (DPD) and equalization algorithms.- Use of ML/AI algorithms to create a self-reconfigurable RF hardware system capable of operating and adapting in a harsh environment.- Fingerprinting of RF
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. There are plenty of options for personal initiative in a learning environment, and we provide excellent training opportunities. We are offering a unique position in an international environment with a pleasant and
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contribute to their research on effective approaches for mitigating risks to the environment from chemical inputs. The successful candidate will investigate chemical input decision-making processes of farmers
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initiative in a learning environment, and we provide excellent training opportunities. We are offering a unique position in an international environment with a pleasant and open working atmosphere. You are
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programme is embedded in a coherent and productive research environment that aims to perform academic research of the highest quality. For more information, click here . Your qualities As a PhD researcher you
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international and industrial partners.IMDEA Nanociencia offers a highly competitive world–class research environment within the UAM-CSIC Cantoblanco Campus of International Excellence (CEI) in Madrid, Spain. With
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provide you an excellent environment to further your education.- Access to top of the class research facilities, travel budget for conferences, a competitive salary with benefits (holidays, health insurance
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be renewed for another 3 years. An exciting project in which we will aim to go beyond the state-of-the-art. A stimulating, high tech, and multidisciplinary research environment. A laboratory equipped
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What we offer: interdisciplinary and international environment that encourages independence collaborative and inclusive atmosphere within a vibrant research institution project budget for data collection