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analyzing single-cell transcriptomic data using Python. Strong skills in analyzing epithelial tissue dynamics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR3215-YOHBEL-023
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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familiar with Python, PHP, JavaScript, and shell scripting and bring a high degree of expertise in one or more of those languages. In addition, the candidate will demonstrate problem-solving ability
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such as XML and JSON. Experience with application programming interfaces such as SOAP and REST. Experience with core web technologies such as HTTP, HTML, and JavaScript. Experience with modern software
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Professional (Temporary) Posting Number req25527 Department School of Plant Sciences-Res Department Website Link https://spls.arizona.edu/ Location Tucson Campus Address Marley Building, 1145 E. 4th St., Tucson
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the application which project you are specifically interested in. Further details on the projects can be found here: https://www.fz-juelich.de/en/jcns/careers/fellowships/tasso-springer-fellowship-program Your
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Religious Devotion project (CREDO; see https://www.levyna.cz/en/about-us/research/credo-project ) is a five-year project (2024-2028) funded by the Czech Science Foundation and is based at Masaryk University
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department