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Field
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for Biomarker Discovery: Develop and fine-tune machine learning algorithms for biomarker discovery, cancer classification, and exploring omics features. Collaborative Research: Work in a multidisciplinary setting
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Requirements Collaboration with the project team to carry out research activities, including reports, studies and scientific articles; Creation of algorithms, code snippets and development of statistical methods
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learning algorithms, develop PBF-LB Mg alloy with defined microstructure, improved mechanical and corrosion properties. Research stays are planned at: Uppsala Universitet, Sweden, and Quintus Technologies
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advantages. We will provide the necessary hardware and software for the real-time control of the machine, but the candidate will be responsible for developing and implementing the control algorithms. A working
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circuits (PMICs) for sustainable and autonomous sensing systems. The goal of this PhD project is to develop a fully integrated energy-extraction chip that efficiently converts mechanical energy into
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for development and management of commercial software. Encouragement to apply for female candidates and underrepresented groups. Candidates interested in the position in Trieste please contact Prof. Mauro Stener
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Soccer Analytics The Algorithms and Visualization
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
31.07.2025, Wissenschaftliches Personal The Chair for Efficient Algorithms, led by Prof. Stephen Kobourov, is inviting applications for a fully funded PhD position at the Technical University
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or potential damage to the rail surface. The Research: This project aims to transform this process by developing a novel machine learning (ML) tool and utilising cutting-edge machine learning algorithms
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– depending on the successful candidate’s background and interests. Your tasks: Develop new exact and approximation algorithms and perform complexity analyses for optimization problems on (temporal) graphs