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Field
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publications Assist in supervising research students in the group Job Requirements: PhD degree in microbiology, bioinformatics, computational biology or a related field. Expertise in python, linux and HPC. Have
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; b) Programming languages: C/C++, Python, etc.; c) Previous use of ROOT and GEANT applications is considered an advantage; d) Experience in analyzing large datasets is considered an advantage; e
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 20 hours ago
engineering or related fields. The ideal candidates will be rising sophomores or juniors with experience using Python or Artificial Intelligence (including Robotics, Computer Vision, Human Language Processing
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calcium imaging. Programming skills, Matlab, (and/or Python.) Ability to communicate complex information clearly, orally and in writing. Experience in electrophysiological recordings. This post is full-time
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experience with MRI acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with
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Skilled in feature extraction Programming ability using Python or MATLAB, and familiar with platforms such as Scikit-image, TensorFlow, or PyTorch Desirable: PhD in a related area Knowledge of reinforcement
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
., using FEniCSx) Advanced knowledge of scientific programming, preferably in Python, including experience with implementing machine‑learning methods (e.g., PyTorch) Excellent spoken and written English, as
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bioinformatic analysis of high throughput datasets. Previous experience working with scientific databases Experience with ImageJ / Jupiter / Python coding and knowledge of python, R, and java computer languages
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Python Fluent in both written and spoken English Additional Information Benefits Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic
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to emerging or re-emerging diseases. Proficiency in programming languages such as Python, R, SQL, or similar tools for data analysis and model development. Experience in working with large and complex datasets