Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
-
qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology Practical knowledge of mass spectrometry and/or microscopy A willingness to
-
degree in a natural science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging
-
science field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
candidate will join an exciting research program exploring a newly emerging paradigm in immunology: mitochondrial transfer and synthetic organelle therapy. Using newly developed genetically engineered mouse
-
., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
-
successful application. For more information, please visit https://www.kmk.org/zab/zeugnisbewertung.html . By submitting your application, you consent to the processing of your personal data for the purpose
-
The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the field of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
-
world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with