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tune the model parameters and validate the models under different operational conditions. In these phase optimization methods and machine learning techniques can be used to make the process more
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to addressing considerations like compositionality that we know to be at the heart of the differences between quantum and classical theories and phenomena; machine learning techniques, in particular
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aims at developing a new and innovative system for the large scale analysis of stellar spectroscopic data. The "CHEmical Survey analysis System" (CHESS) will combine machine learning ideas with
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tomography. Advanced image analysis tools, including machine learning (ML)-based tools, will be used to analyse the resulting datasets. Notably, we propose developing quasi-live and offline image analysis
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scientific research in the field of image processing and machine learning; 2) publishing research results and participation in scientific conferences; 3) conducting didactic classes and preparing teaching
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recordings, strong MATLAB and or Python programming skills – single-neuron sorting (Preference for Osort software), signal analysis, statistics, machine learning, exceptional motivation for the scientific
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Description The National Centre for Nuclear Research opens the competition for Post-doc position in condensed matter physics/ computational materials science/ machine learning Localization: National Centre
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 3 months ago
in in vivo neurophysiological techniques (such as electrophysiology), or a strong drive to learn those techniques. Following the CNS virus microinjections in transgenic animals (stereotax), you will be
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 3 months ago
neurophysiological techniques (such as calcium imaging), or a strong drive to learn those techniques. Following the CNS virus microinjections in transgenic animals (stereotax), you will be performing optogenetic
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aims to leverage remote techniques such as Satellite Radar Interferometry (InSAR), Numerical Modelling (NM) and Machine Learning (ML) to understand sinkhole formation physics and effectively detect