Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Michigan State University
- Rutgers University
- University of North Carolina at Chapel Hill
- University of Arkansas
- Florida Atlantic University
- Stanford University
- University of Utah
- University of Washington
- Heidelberg University
- Lawrence Livermore National Laboratory
- University of British Columbia
- University of Copenhagen
- University of Gothenburg
- University of South Carolina
- Aalborg University
- Arizona State University
- Centre for Genomic Regulation
- Cold Spring Harbor Laboratory
- Cornell University
- EMBL
- Lulea University of Technology
- Pennsylvania State University
- Technical University of Denmark
- Texas A&M AgriLife
- Texas A&M University System
- The California State University
- The University of Arizona
- University of British Columbia - Department of Medicine
- University of California, Berkeley
- University of California, Los Angeles
- University of Central Florida
- University of Colorado
- University of Idaho
- University of Texas at Arlington
- University of Texas at Austin
- VSB-Technical University of Ostrava
- William and Mary
- Zintellect
- embl
- 29 more »
- « less
-
Field
-
collecting data. Statistical skills, including data analysis and visualization. Familiarity with programming, including programming skills in R and/or Python. Preferred Qualifications Experience with or
-
. Certifications/Licenses Required Knowledge, Skills, and Abilities Proficiency in statistical programming (e.g., R, Python) for data analysis and visualization. Strong analytical, organizational, and time
-
, PyTorch, and LLMs; Skilled in data visualization using Matplotlib, Seaborn, and ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp, and Jupyter Notebooks
-
Python and R programming for statistical modeling, data visualization, and integration of large-scale genomics datasets Participate in the design of strategic data acquisition plans to support ongoing
-
cellular models (cancer/healthy/immune) and planning exposure paradigms (acute or chronic scenarios). The applicant will also handle data analysis, interpretation, and visualization, write manuscripts and
-
identifying, analyzing, interpreting, and visualizing trends and patterns in complex data sets. Gaining knowledge of state-of-the-art statistical, analytical, and visualization methods and techniques through
-
extensive experience in libraries and frameworks such as Pandas, NumPy, scikit-learn, Gensim, BERTopic, TensorFlow, PyTorch, and LLMs; Skilled in data visualization using Matplotlib, Seaborn, and ggplot2
-
microbiology, or mathematical modeling. Proficiency in R and/or Python for statistical analysis and data visualization. Experience with food manufacturing, fermentation systems, or food processing
-
aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing
-
projects, including publication of peer-reviewed literature. Proficiency in Python for analysis and visualization of Earth system data Proficient verbal and written communication skills to collaborate