Sort by
Refine Your Search
-
Astronomy, Astrophysics, or a closely related field by the time of hire. Candidates should have strong scientific programming skills using modern languages such as Python or C++. Expertise in statistical
-
programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
-
biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
-
Biomedical Engineering, Psychology, or a related field At least two years of postdoctoral experience. Required Qualifications: Thorough familiarity with programming and analysis in MATLAB and/or Python. Strong
-
heterostructures Experience with operating ultra low temperature cryogenics (~ mK) Experience with cleanroom work Experience developing a Python-based laboratory control and data-acquisition infrastructure
-
python and using plant root segmentation software Experience segmenting 3D CT images in plant sciences Experience with high performance computing/high throughput computing resources for research Evidence
-
equivalent. Experience in computational biology or bioinformatics research required; proficiency in Python and/or R required; experience with genomic and/or transcriptomic data analysis required; familiarity
-
data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB