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Field
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studying transcription factors and chromatin (ATAC-seq, RNA-seq) and/or programming skills in languages commonly used in bioinformatics (Python or R, etc) are highly encouraged. Previous postdoctoral
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in artificial intelligence and machine learning, particularly for control applications Proficiency in Python Strong analytical and problem-solving skills Ability to work independently and
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river delta models. Demonstrable ability to use programming languages such as Python, Julia, C, C++ or Fortran. Familiarity analysing functional diversity and/or geomorphological information. Curiosity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
medical image analysis, machine learning, or artificial intelligence. Strong programming skills in Python, MATLAB, or related languages. Excellent written and verbal communication skills. Ability to work
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data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in a
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aeroelastic code HAWC2. Proficient in Python and the various numerical packages (e.g. NumPy, Pandas, etc). Ability to work both independently and as a part of a team. Excellent communication and writing skills
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(bulk and single-cell) Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake) To work accurately and being
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modelling, and real-time graphics programming. Proficiency in programming languages such as C++, C#, Python, or JavaScript. Strong understanding of UX/UI principles for immersive experiences. Experience in
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C++ and Python, including use of ROS or other real-time robotics frameworks. 5. Excellent verbal and written communication skills in English, including the ability to present technical concepts
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. Essential qualifications: PhD in Computer Science, Robotics, Machine Learning, or related fields. Programming skills in Python/C++ and experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX). Strong