... | ... | @@ -27,4 +27,8 @@ Dickscheid, Timo t.dickscheid@fz-juelich.de | INM-1 Big Data Analytics Group (BD |
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| Comito, Claudia c.comito@fz-juelich.de | JSC - Helmholtz Analytics Framework (HAF) | Currently human-learning | | Probabilistic approach |
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| Haas, Sarah sa.haas@fz-juelich.de | INM-1 Big Data Analytics Group (BDA | Deep Learning with ConvNets, Image Feature Detection | Microscopic-resolution 2D and 3D cyto images | |
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| Ungermann, Jörn j.ungermann@fz-juelich.de | IEK-7 | Inverse Modelling, Linear Regression | 2-D and 3-D interferograms | |
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| Schober, Martin m.schober@fz-juelich.de | INM-1 Fiber Architecture Group | Beginner | Microscopic resolution 2D and 3D images, scalar and vector valued data | | |
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| Schober, Martin m.schober@fz-juelich.de | INM-1 Fiber Architecture Group | Beginner | Microscopic resolution 2D and 3D images, scalar and vector valued data | |
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| Schlottke-Lakemper, Michael m.schlottke-lakemper@fz-juelich.de | JSC/JARA SimLab Fluids & Solids | Beginner | Continuum mechanics (fluids, solids) | Meet like-minded researches & ML experts to exchange ideas, learn who to ask in case of specific problems/questions |
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| Grießbach, Sabine s.griessbach@fz-juelich.de | JSC SimLab Climate Science | none | satellite data, infrared spectra, meteorological data | unsupervied ML |
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| Gohlke, Holger h.gohlke@fz-juelich.de | JSC / ICS-6 / NIC Research Group | Deep learning / Supervised/unsupervised learning | Molecular structure data | meet ML experts, possibility to discuss individual DL problem |
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| Nöh, Katharina k.noeh@fz-juelich.de | IBG-1: Biotechnology, Modeling and Simulation Group | Image segmentation with DL (U-Nets) | Large-scale microscopic images from time-lapse microscopy (2D, x-TB range) | Meet DL/ML experts, discuss DL solutions for specific applications | |
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