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Field
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software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell’s equations and
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aquatic biogeochemistry and watershed-scale monitoring Fieldwork proficiency including sensor deployment Analytical and modelling skills with R or Python Excellent scientific communication Proactive
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
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experience in protein dynamics studies. The candidate should be knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. Preferred qualifications: Familiarity with
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estimations in humanitarian and public health contexts by developing reproducible, multilingual workflows for social media analysis, building data pipelines in R/Python, and creating open-source tools for text
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in at least one programming language for data science and numerical computing (e.g., Python, Fortran). We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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(Python/MATLAB). Capability to manage a multi-phase, interdisciplinary project with clear milestones and deliverables. Excellent academic writing and presentation skills to draft publications, reports, and
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. Experience in Python code, Matlab, and LabChart. Knowledge of cardiovascular physiology. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional
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degree in physical sciences, biochemistry, or computer science is required at the start of the position (we accept ABD applicants). Applicants with prior experiences with Linux command line, Python
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assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency