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degree in computer science or related discipline Strong interest in applied machine learning, including but not limited to deep learning Strong interest in image analysis / computer vision and pattern
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” with supervisor Dr. Mike Papadakis. Successful PhD candidates will extensively explore and develop software engineering techniques that include the feasibility, practicality and success evaluation
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for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance. The Luxembourg-based company Mission Space and SnT, University
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mission is to delve deeper into the molecular mechanisms underlying this phenomenon and to translate our findings into actionable strategies aimed at restoring a potent anti-tumor immune response. To learn
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an advantage Commitment, team working, a critical mind, and motivation are skills that are more than welcome Optional: knowledge of machine learning, metaheuristics, statistics, and text analysis
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should have some knowledge and experience in a number of the following topics: Software Testing Model/Specification inference Machine learning Web applications Java advanced (Spring and Hibernate
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, Experience and Qualifications Master’s degree in the biomedical/bioinformatical field with an interest in computational biology and machine learning Previous experience in bioinformatics, R and/or Python
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or equivalent Skills/Qualifications Key Skills, Experience and Qualifications Master’s degree in the biomedical/bioinformatical field with an interest in computational biology and machine learning Previous
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. mathematics, remote sensing, machine learning, engineering, computer science Experience and skills Some knowledge of programming and processing of remote sensing data would be an advantage. Language skills Good
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, such as the University of Liège and Aachen University, is anticipated. Your Profile The expected PhD candidate should have: A Computer Science background Expertise in Machine Learning, Deep Learning