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Proficiency in R and Python Experience with cancer genomics, single-cell RNA-seq and/or ATAC-seq analysis (strongly preferred) Ability to work independently as well as collaboratively in an interdisciplinary
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Sub-Saharan Africa and conducting epidemiological research on pediatric cancer disparities for patients treated in the US. The Postdoctoral Associate will use R or Python to maintain data pipelines
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technologies Proficiency in using Excel, Python, R or similar tools for engineering data analysis is preferrable Excellent written and oral communication skills Motivated self-starter with the ability to work
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samples and myeloma cell lines. Preferred: experience with NGS analysis, R/Python, other computational languages, bioinformatic analysis. References: Mikulasova A, Morgan GJ, Walker BA (2022) Chromosomal
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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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
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(dSPACE and OPAL-RT) Background in communication networks and protocols Familiar with networked controllers and meters Proficiency in programming languages such as Python, Pytorch, HyperSim. Background in
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, or a related field; Good publication record in ML, and/or computational methods for audio data. A publication record in ML applied to bioacoustics is a bonus; Good programming skills in Python
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building and managing complex relational datasets; Proficiency in Python, R or comparable analytical languages and software; Proficiency in the use of large-language models (LLMs) for quantitative and/or
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., in Python. A keen interest in interdisciplinary research. An excellent command of English, as you’ll be working in an internationally diverse community and with international partners. Ability to learn