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Field
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. UKF jobticket UKF Your challenges: develop and optimize high-throughput analysis pipelines integrate complex RNAseq, Whole Exome Sequencing and TCR repertoire high-throughput data apply machine learning
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papers, research or develop patents at the cutting edge of technology Qualifications Currently studying for, or completed, a PhD degree in the field of machine and deep learning, artificial intelligence
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is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods
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helpful here – or a Master's degree from the field of machine learning, neural information processing, or electrophysiological signal processing – here very good programming skills and experience with EEG
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Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote
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to unreliable hardware. To design a reliable system, fault mitigation and reliability methods need to be applied. This project investigates the feasibility of developing a hybrid Machine-Learning (ML)-based
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learning engineers. Your main tasks will encompass the development of novel machine and deep learning algorithms to understand, predict, and treat human disease. Using multi-modal genomic, image, and patient
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Temporary Position for 12 Months, starting from 01.04.2024QualificationsWe are looking for somebody with a masters or PhD degree with experience in machine learning / data science.The candidate
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10 people), working on the open source software NOMAD . As a postdoctoral researcher, you will also be involved in research on method development for machine learning algorithms and advise PhD
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Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc Positions in Machine Learning and Ab Initio Simulations: Marx Group