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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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the Research Group in ongoing research activities Where to apply Website https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=32602fc84… Requirements Research FieldPhysics » ElectronicsEducation
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or equivalent) Strong programming proficiency in Python Experience with deep learning frameworks such as PyTorch and/or TensorFlow Experience using data science libraries (e.g. NumPy, Pandas, SciPy, scikit-learn
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Cancer Institute seeks a Research Fellow to focus on next-generation, translational pathology studies who will work within the Wolpin-Nowak laboratory (https://labs.dana-farber.org/wolpin-nowaklab/) as
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to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python, ROS). This opportunity allows you to engage in international collaboration within an ambitious
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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/Drupal, Python/WSGI, Java/Tomcat), and server-side technologies including Apache Solr, NGINX and/or Apache HTTP Server, Tomcat and/or Jetty, and Passenger. Supporting IT operations in an always-up, always
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pipelines, and connections to the University’s Enterprise Data Warehouse (EDW). This role involves low-code/no-code configuration as well as moderate scripting (e.g., using Python or PowerShell for API calls
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biology and evolution. They will be self-motivated in designing and executing experiments, with a proven track record in most of the following techniques, scripting and programming in python and bash
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python