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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 23 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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well as train and support lab scientists on various cell biology and microscopy techniques including live imaging using confocal microscopy Train and support lab members on standard and emerging molecular biology
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About The University of Texas at El Paso: ABOUT THE ECE DEPARTMENT: The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu ) offers two undergraduate and three graduate
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of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative
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models of cancer, optical microscopy and spectroscopy, and image analysis in the Department of Biomedical Engineering. The SRA will oversee and manage the work of graduate students and undergraduate
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23 Mar 2026 Job Information Organisation/Company CNRS Department Centre de recherches sur les macromolécules végétales Research Field Chemistry Physics » Chemical physics Physics » Biophysics
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15 Apr 2026 Job Information Organisation/Company KU LEUVEN Research Field Psychological sciences » Cognitive science Researcher Profile First Stage Researcher (R1) Application Deadline 15 May 2026
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing