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Field
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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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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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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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PixHawk Autopilot, Arduino boards, Raspberry Pi - or equivalent Experience with ROS/ROS2 Experience with programming languages like Matlab, Python, C++ Familiarity with machine learning and/or deep learning
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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
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, EWAS) and/or neuroimaging (Freesurfer, Matlab) Experience and interest in conducting research in (epi-)genetic or neuroimaging psychology. Experience with R, Python or Matlab programming, advanced
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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knowledge and proven capacity of data analytics and machine learning. *Excellent programming in Python, R, SQL. Have experience with tools such as Google analytics, AWS, Looker, Tableau, or similar