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. These data will then be used to find out what additional insights can be generated by using suitable analysis algorithms. This work is part of the EU-funded project “Decode – Decentralized Cloud Labs
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Phenotyping” offers a position from 01.03.2024 as PhD student (m/f/x) for development and implementation of machine learning applications and data analysis in Translational Psychiatry Kennziffer: 8740. Your
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PhD position (all genders) in AI for biomedical data analysis Part time | Temporary | Arbeitsort: Hamburg-Eppendorf UKE_Zentrum für Molekulare Neurobiologie (ZMNH) Better together. For life. We
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position as PhD student (m/f/d) to develop and implemente machine learning applications and data analysis in Translational Psychiatry. Your group The MPIP Fellowship led by Prof. Dr. med. Falkai at the Max
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asleep affects stimulus processing, memory, and brain activity. An important part of the work will involve the analysis of existing sleep EEG and MRI data with the aim of describing the cortical and
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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in a dynamic, international, and collaborative research environment. Previous experience in genome-wide data analysis, including RNA-seq, single-cell RNA-seq, or ChIP-seq, as well as basic competence
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PhD student (f/m/d) Stellen-ID: 2851 Facility: Department of Data-driven Analysis of Biological Networks Contact person: Prof. Dr. Michael Wibral [email protected] 0551 39-26661
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various data acquisition and analysis techniques (e.g., representational similarity analysis (RSA))-Dynamic, interdisciplinary, and international research environment within the Institute of Systems
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scattering and runs a specialized subgroup on machine learning (artificial intelligence and deep learning) for the analysis and prediction of experimental scattering data. Currently, there are several options