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Field
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the ability to train and manage student researchers and technicians. Preferred Qualifications Preferred experience: in vivo imaging, ex vivo electrophysiology, rodent behavior, Python/R/Matlab coding
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, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended
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with molecular/population/quantitative genetics, as evidenced by application materials and/or publications. Experience with bioinformatics (such as coding or scripting in R or Python) as evidenced by
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foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning, deep learning, HPC, Docker/Singularity
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. Preferred Qualifications: Experience in machine learning, Python programming; first-principles studies of thermodynamics and defects in solids; experience in NEB calculations. Special Instructions
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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/co-first-author original research papers. - Strong programming skills in Python or R, and Linux Shell. - Creative, independent, and highly motivated, with good communication skills Preferred
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instrument programming. Interest in software development, in particular, expertise in C or C++ and Linux/Unix programming and Python. Familiarity with scientific productivity, as demonstrated by publications
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific