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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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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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the department and have the opportunity to join masters level courses (including courses on research methods). Moreover, our PhD students are supported to attend high-quality international workshops and summer
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Methods for Vineyard Disease Detection. University Padova (IT) & Poznan University of Technology (PL) Position F Optimized Olive crop irrigation based on high quality soil data using IoRT networks
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, including but not limited to fatty acid production, biostimulants, nutrient recovery, novel feedstock pretreatment methods, and integrated processes for enhanced product recovery. The PhD project is part of
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, Gaussian, etc.), force-field-based simulations software (LAMMPS, DL_MESO, etc), and Monte Carlo methods (self-programming or using software). Experience or strong interest in data-driven modelling and
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Engineering Telecommunications Engineering Data Science / Artificial Intelligence Computer Engineering Applied Computing Computer Science Or a closely related discipline Equipped with advanced scientific and