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Field
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interdisciplinary research at the interface of biology, physics, and computation ● Experience in image analysis and/or machine learning is highly desirable ● Programming skills (Python or equivalent) are a plus
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, Environmental Science, Remote Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record Where to apply
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. Responsibilities Writing codes(C++, Python, MATLAB) and running simulations related to modeling complex disordered structures, troubleshooting, and refining codes. Working with the advisor in analyzing and
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neurodegenerative mouse models Experience in developing image analysis workflows (Python, MATLAB, R, Imaris) Experience in histologic post hoc brain tissue analysis (IF, IHC, RNAScope) Experience in antibody
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Proficiency in basics of programming languages such as C, C++ and Python Knowledge in interfacing circuit design for low power sensing and wireless communication Familiarity with micro-fabrication techniques
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
visualization Scientific programming in MATLAB and/or Python (10%) Scientific/engineering technical writing, for the purpose of sharing results in peer-reviewed academic journals Requirements Minimum Acceptable
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requirements include: Candidate should minimally hold a master’s degree in maritime transport, marine technology, computer science, or a related field. Excellent programming skills, such as Python, Matlab, C
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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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literature relevant to sea-level projections and/or coastal climate risk; · Strong coding skills, including experience in Python; · Excellent organizational and communication skills. Familiarity with high
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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical