Sort by
Refine Your Search
-
learning, image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer code optimization and evaluation in an HPC environment
-
learning, image analysis platforms (e.g., ImageJ/Fiji, CellProfiler), scientific computing, scientific data visualization, scientific computer code optimization and evaluation in an HPC environment
-
at St. Jude by developing and applying innovative AI and computer vision approaches for image analysis and quantification. We are looking for an individual motivated to make a meaningful impact through
-
Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
the left atrial appendage. Second, CFD simulates high-resolution hemodynamics but requires patient-specific geometry, wall mechanics, and boundary conditions, as well as demanding advanced imaging and
-
letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational
-
to create a space where scientific discovery in cancer research is transformed into benefits for human health. As a core partner in Helmholtz Imaging (HI), DKFZ is committed to advancing imaging science and
-
Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department
-
awake behaving animals. Calcium imaging from ensembles of genetically-defined neuron populations and in vivo electrophysiology that allows for precise temporal resolution, are key techniques that provide
-
. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
-
computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving