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on earlier and on-going research on automated data collection in organs-on-chip, a new project is now being initiated to explore how machine learning and the combination of different types of data (optical and
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initiated to explore how machine learning and the combination of different types of data (optical and electrical) can be utilized to improve decisions during on-going experiments as well as its potential
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--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision
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qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found in optimization, machine learning, quantum
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unlabelled data. The research outcome are expected to be published in machine learning and/or computer vision venues such as ICLR, NeurIPS, ICML, ECCV, ICCV, and the like. What we offer A position at a leading
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26th 2024. Project description and tasks Machine learning (‘artificial intelligence’) is having an immense impact on both society at large and research especially, and this impact is expected to increase
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be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice
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of four years of full-time doctoral education is required. One Ph.D. position is available in cancer precision medicine using advanced machine learning methods and AI methods on large-scale data
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University degree in Life Sciences or Computer Engineering (or equivalent fields) at the time of the recruitment. A master's degree (240 ECTS) in one of the above fields is highly meritorius. You should have
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primarily work with the analysis of large-scale data from DNA methylation arrays and SNP arrays, along with prospective clinical data. You will perform multiome analyzes and use machine learning methods