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computational modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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, and machine learning to real world datasets. Experience conceiving and executing research and development projects Proficiency in Python and common data science and machine learning libraries (e.g
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at least four of: Electronic Health Record (EHR) systems Excel (advanced; pivot tables, power inquiry) JMP Microsoft Access Oracle Database Python R REDCap SAS SPSS SQL STATA AI Tools Communication and
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: Strong programming skills in languages such as C++, Python, and, preferably, Julia. Proficiency in hardware design using Verilog and High-Level Synthesis (HLS) for ASIC and FPGA platforms. Demonstrated
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, robotics, computer engineering, computer science, or closely related field with at least four years of relevant experience. Programming experience, preferably in Python. Strong desire to learn new skills and
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working at the intersection of material science, advanced manufacturing, and digital manufacturing Programming skills using Python or modern C/C++/C# Demonstrated experience conceiving and executing
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within the last 5 years. Programming experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake. Writing and communication skills and the ability to publish. Preferred
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foundation in machine learning, deep learning, or computer vision Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow Demonstrated research productivity (e.g., peer-reviewed
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in aberration-corrected STEM and EELS. Background in Python or MatLab. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate