I am the team assistant of the Helmholtz Imaging Management Unit at the DESY in Hamburg. Most of the time, I am busy organizing meetings, conferences and other events to present and promote Helmholtz Imaging within the Helmholtz Association and …

Phd student at Dr. Fabian Coscia's Group.
Trying to establish t-Cycif analysis pipeline.
Trained as biologist, learning how to talk to computers

Development of computational methods and tools to analyze cellular processes. Working at the intersection of mathematics, statistics, data science and computational science and engineering. One focus is on the spatio-temporal analysis of single cells and their heterogeneity from live cell …

Working on Medical Imaging methods, tools and platforms. Interested in FAIR data and open source software. Coordinator of the Hub Health of the Helmholtz Metadata Collaboration (HMC)

to be filled out …

Master student in bioinformatics (data science) at FUB.

Interested in:
- Applicable Deep Learning
- Image Data Analysis
- Computational Biology
- Workflows & Pipelines
- Playing drums

I am a Research Scientist working on AI-driven bioimage analysis. I developed theCell-ACDC software which is used to segment, track, and annotate single cells in multi-dimensional microscopy datasets in an interactive and smart manner. I am currently working on new …

Hi. I am material scientist, and currently working on 'data-driven microscopy such as in-situ TEM with image processing', as postdoctoral researcher at in-situ Electron Microscopy (iEM) group in Institute of Energy and Climate - Fundamental Electrochemistry (IEK-9), Forschungszentrum Jülich GmbH …

I am conducting 3D X-ray tomography studies and image processing, primarily on catalysts. I am familiar with Avizo software and the MATLAB Image Processing Toolbox.

I am mainly interested in understanding biological systems in an algorithmic fashion and develop methods for this purpose. In my current work at the Research Center Juelich, I am focusing on predictive modeling of neurobiological diseases using MRI data and …

Tingying Peng is a Helmholtz AI young investigator group leader. Her group is aim to create new AI methods to help life scientists and pathologists to analyze microscopic images more quantitatively and efficiently, allowing them to extract more knowledge. Her …

I am interested in the use of Machine Learning in medicine. My main research focus on the application of ML in PET and MR images. I am mainly interested in the reproducibility and repeatability of machine learning methods

Light-mircoscopy: Fluorescence and bright field slide scanner
Customized histo- pathology work for your research:

• Blinded and randomized histo-pathological evaluation (scores) specifically designed for your research question inclusive the interpretation and illustration of your data (approx. 50 projects per year)
• More …

My current focus is on applying active learning to reduce the effort needed in labeling Sentinel-2 satellite images. I am experimenting with contrasting learning and uncertainty measurements within deep neural networks.

Funktion und Aufgaben:
Postdoctoral researcher in geodynamic modelling

Any questions ? Contact me at pons@gfz-potsdam.de

Wissenschaftliche Interessen:
Main research interests
Geodynamic modelling of subduction zone and global plate tectonics.
Other research interests

Paleomagnetism and ASM analysis
Earthquakes by satellite gravimetry …

I am interested in the automated handling, imaging and image analysis of biological samples including invertebrates and zebrafish embryos. The focus is on developing custom imaging systems for high-throughput screening, classification and feature detection. Furthermore, I follow an open science …

I focus on making large-scale and high-quality data available in the computer vision and biomedical domain.

I am a Computer Scientist with a particular interest in the study of what I consider to be the most beautifully engineered computing architecture: the human brain.

My history starts in Patagonia, were I grew up. I slowly started migrating …

Astronomer by formation, skilled in Physics, Mathematics and Statistics. My research interests are divided into making infrastructure more resilient, safe and secure by means of data (optical, infrared, etc). Additionally, I am also interested in applying different machine learning techniques …

Interested in biomaterials and correlating different imaging techniques. Especially understanding the biodegradation processes of Magnesium-based alloys at the micro- to nanoscale by applying synchrotron radiation nano computed tomography and transmission electron microscopy techniques.

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PhD Student
- Causal Machine Learning
- Reliability and Robustness

• I'm interested in pattern recognition and matching methods.
• I do data analysis on imaging mass cytometry (IMC) data.

My research has an inter-disciplinary focus on marine particle dynamics and its influence on regional carbon and nutrient budgets. On the one hand, this includes large and meso-scale oceanographic processes, such as cross-shelf transport and subduction of dense bottom waters …