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the emails and registration portal Job Requirements: At least a Bachelor’s in Computer Science or a related field. Proficient in coding (Python, C/C++, Lua) with a focus on clean, efficient code. Good
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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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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 11 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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teaspoon languages, writing programs in the Snap! programming language (https://snap.berkeley.edu/ ), and learning to transfer their knowledge to industry standard notations like Python, Processing, and HTML
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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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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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practice of English (level B1 desired) • In-depth knowledge of the Python language • Autonomy, interpersonal skills and ability to work in a team Website for additional job details https://emploi.cnrs.fr
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. Duties/Responsibilities: 30% Lead multi wavelength analysis of solar flares, especially high-energy aspects using hard X-rays, gamma rays, and/or radio data, using Python software and performing imaging
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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
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following