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(TUM), Campus Heilbronn. We seek exceptional candidates excited about graph drawing, network visualization, and information visualization. The specific research focus can be chosen by the applicant based
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Your Job: The aim of the project is to commission new testing facilities for determining mechanical, thermophysical and microscopic material properties inside and outside the hot cells and to
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visualization in the Lipidomics Informatics for Life Science network in the de.NBI / ELIXIR-DE network Participation in working groups of the HUPO-PSI MS standardization initiative, ELIXIR Metabolomics and
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development for multi-omics data integration (genomics, transcriptomics, proteomics, metabolomics, lipidomics), statistical evaluation and visualization in the Lipidomics Informatics for Life Science network in
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
of Munich (TUM), Campus Heilbronn. We are looking for exceptional candidates who are interested in pursuing a PhD in either theoretical computer science or graph and network visualization. We seek PhD
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and IT develop innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Positron Emission Tomography is
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 29 days ago
13 Nov 2025 Job Information Organisation/Company Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association Research Field Other Researcher Profile First Stage Researcher (R1) Country
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10 Nov 2025 Job Information Organisation/Company Giessen University Department Psychology Research Field Psychological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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10 Nov 2025 Job Information Organisation/Company Giessen University Department Psychology Research Field Psychological sciences » Psychology Computer science » Other Neurosciences » Other Researcher
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as