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Field
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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Germany Type of Contract To be defined Job Status Other Offer Starting Date 27 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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stimulating research environment within the DZNE, the SyNergy Cluster, with access to advanced imaging platforms, single-cell and spatial multiomics pipelines, high-performance computing, and close interaction
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microenvironments Developing high-throughput LC-MS/MS workflows capable of analyzing the proteomes of 500– 1,000 single cells or several preparations of very few cells per day Collaborating with our computational
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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populations Supporting the implementation of computation frameworks to predict the metabolic activity of cell populations from omics data Performing phenotypic assays to validate the cellular heterogeneity
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populations Supporting the implementation of computation frameworks to predict the metabolic activity of cell populations from omics data Performing phenotypic assays to validate the cellular heterogeneity
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 14 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.05.2026
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. MMMIGS promotes structured doctoral education within MMM, supports doctoral candidates and supervisors within the high-profile area, and offers a demand-tailored scientific qualification programme. The