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Field
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(GIS); - Programming skills in Python and MATLAB. Additional optional skills and qualifications: - Good command of English. Contracting requirements: Presentation of the academic qualifications and/or
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-beam spectrometers Extensive programming experience in C++ and/or Python High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques
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, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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. Experience in statistical packages (SAS), R, Python, or similar programming skills. Point of Contact Janeen Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree. Discipline(s
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes of Work Hybrid
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. Beneficial previous experience could include (but is not limited to): robotics and autonomous systems development, environmental science fieldwork, electronics design, and data science. Knowledge of Python, C
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with cell culture techniques. R, Python, or other data science tools for microbiome analysis. Publication record in peer-reviewed journals. Preferred Qualifications Experience with colorectal cancer
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and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience