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patients develop a durable response. Many researchers are investing efforts to understand the complexity of anti-cancer immunity and develop diagnostic approaches that accurately predict therapy benefit and
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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systems. Examples of research topics include advanced motor control using digital control algorithms (e.g., model-predictive control, adaptive controllers) and their implementation on digital platforms (e.g
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. Currently, conservative assessments of seismicity (i.e., predicting higher seismicity than likely to occur) are one reason for projects not passing the exploration stage, and seismic activity related to gas
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include the development of machine learning models and decision-support systems for crop monitoring,early detection of plant stress and diseases, prediction of environmental performance and digital
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
, whose parts move according to complex kinematic constraints; iii) explicitly model the uncertainty associated with segmentation, tracking, and motion prediction; iv) develop planning strategies capable
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the subsequent years, you will combine these insights with predictive modelling and select, train, and validate process-based or deep-learning fire propagation models using a.o. detailed information about
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an advantage: Deep learning or machine learning Structural bioinformatics Protein structure prediction and modelling Molecular simulations Membrane proteins or membrane biophysics Scientific software development
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field. Documented experience with soundscape-related research methods, such as soundscape prediction, soundscape design or soundscape evaluation; psychoacoustic or perceptual modelling; auralization
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theory (DFT). The project aims to predict new materials and geometries for neuromorphic computing using realistic and physically well founded models, where physical phenomena that mimic the information