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Field
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skills (e.g., Prism, Python/R, HTS analytics) and clear scientific writing/presentation ability · Genuine enthusiasm for mentoring and cross-disciplinary teamwork City of Hope employees pay is
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is Python. Demonstrated experience working with the Materials Project and pymatgen. Ability to work creatively, independently, and productively. Ability to work as a member of a large multidisciplinary
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simulations (LAMMPS, GROMACS). • Strong background in statistical mechanics and Python scripting (PyTorch/JAX for ML applications). • Ability to independently design and execute research projects, with a track
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programming using languages such as Bash, C, C++, or Python. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration
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planning. b) Have knowledge of statistical computing, data science, data modelling, or data visualisation languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.) c) Have experience
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Epidemiology or related subject or a similar quantitative discipline. Programming skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python
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team. Skills: Expertise in varying disciplines, with strong proficiency in programming languages such as R, Python or Javascript is required. Experience in big data analytics and deep learning using time
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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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, or related discipline). Degree must have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python
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Navigation. Strong research background in path planning, motion planning, and multi-robots coordination in complex environments. Proficiency in Python and C++, with extensive experience in ROS/ROS2 for robotic