199 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship scholarships
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University of Stavanger invites applicants for a PhD Fellowship in in molecular modelling and machine learning for improved subsurface utilization, at the Faculty of Science and Technology, Department
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the following conditions: OBJECTIVES | FUNCTIONS The purpose is to continue the research on Machine Learning methods applied to optimization techniques, in particular for the veicule routing problem. The idea is
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SAPIENZA UNIVERSITA' DI ROMA-DIPARTIMENTO DI PSICOLOGIA DINAMICA CLINICA E SALUTE | Italy | about 11 hours ago
parent–child relationship. Where to apply Website https://www.uniroma1.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
, financed by national funds through FCT/MCTES (PIDDAC Workplan: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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innovation in the maritime sector. Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu
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compression, event-based or neuromorphic vision, signal processing, machine learning or deep learning for visual data. - Motivation for research and scientific dissemination. - Good communication skills in
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communication, scientific dissemination and technical reporting activities of the project. Where to apply Website https://pica.cineca.it/ Requirements Additional Information Eligibility criteria Eligible
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tumors and metastases to investigate intra-patient heterogeneity. Genomic data will also be integrated with the single-cell datasets available. Where to apply Website https://pica.cineca.it/ Requirements
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potential. Additionally, the study aims to characterize molecular variability both within individual patients and across different patients. Where to apply Website https://pica.cineca.it/ Requirements