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of trees using AI methods on acoustic signals All details here: https://www.eu4greenfielddata.eu/content/download/201/2097?version=3 Context: Abiotic stresses (e.g. frost, drought, wind) cause significant
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computing architectures, replacing conventional structureless and deterministic LIF point-neuron models. This is pursued through circuit designs that exploit and control memristor dynamics (e.g., local
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Engineering, or a related field ▪ Strong knowledge in wireless communication systems, signal processing, or radar systems ▪ Proficiency in at least one programming language (e.g. Python) ▪ Interest in hands
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on the candidate-designed and de-veloped optical system and the forthcoming commercially available reference measurements, for design-ing a digital signal processing method to analyze the sensor's optical response
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Smet ( https://desmetlab.sites.vib.be ) and F. Van Breusegem ( https://vanbreusegemlab.sites.vib.be ) have expertise in abiotic stress signaling and in advanced molecular profiling, including mass
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publication of the provisional list of accepted and rejected candidates (fourth section of the call) will not be taken into account. At any point during the process, candidates may be required to present
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Smet (https://desmetlab.sites.vib.be ) and F. Van Breusegem (https://vanbreusegemlab.sites.vib.be ) have expertise in abiotic stress signaling and in advanced molecular profiling, including mass
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https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural language processing Develop and curate multimodal
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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according to the Danish 7-point grading scale (https://ufsn.dk/english/education/recognition-and-transparency/ ) • have a weighted grade point average of at least 8.2 on the Danish 7-point grading scale