48 evolution "https:" "https:" "https:" "https:" uni jobs at Politecnico di Milano in Italy
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evaluated and properly validated to enhance their accuracy. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research will focus on the development of biophysical single-neuron models
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the mathematical models necessary for the development of the project. The following two months will be devoted to the study of the theoretical properties of these models. From the fifth month to the eighth month
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processing of audio signals, with particular emphasis on the reconstruction of acoustic fields in reverberant environments using parametric and data-driven techniques. Where to apply Website https
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. The research adopts an experimental approach, involving the development of novel setups to quantify solute mixing dynamics in porous media at the interface with a free-flow domain. Where to apply Website https
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of the project is the development and implementation of a set
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, designing, implementing, and evaluating ML models that address practical challenges across domains. The researcher will contribute to the development of a full machine learning pipeline, including data
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of machine learning
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of machine learning
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MINIONS and involves: (i) the development and integration of microstructural simulation and radiation–matter interaction models, and (ii) the application of these integrated models to retrospective and