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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 14 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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experience with programming languages such as Julia, Python, and Fortran. According to EU mobility requirements, candidates must not have resided or carried out their main activity in Spain for more than 12
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Level 47 Salary Range $57,158-94,286/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment
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Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment
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the French project BIBLISSIMA+ (https://projet.biblissima.fr ), and the ERC Synergy MIDRASH (https://www.midrash.eu ). The eScriptorium project itself involves North American and European teams and aims
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in C/C++ or Python. Knowledge of Linux (ubuntu), ROS 1 and/or 2, Gazebo and/or pybullet, Docker, git, Latex are a plus. Knowledge of SLAM, pose estimation, UWB, IMUs, VIO, LIO are a plus. Hands on
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, both spoken and written. You are familiar with common MS Office applications (Word, Excel, PowerPoint). Experience with data analysis in R and/or Python is a plus. You hold a FELASA certificate (animal
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: Experience in deep learning, machine learning and medical imaging processing Programming experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent verbal and written
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& Advanced Analytics Build and maintain reproducible workflows using tools such as Python, R, Bash, Docker/Singularity, Git, and workflow engines (e.g., Snakemake, Nextflow). Integrate established neuroimaging
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, and expand in-house modeling libraries, codes, and computational tools, particularly within Modelica/OpenModelica and associated Python-based environments. Conduct parametric analyses, sensitivity