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clear conclusions. An understanding of RF sensing theory. Proficiency in RF collection system design, assembly, and deployment. Proficiency in Python, MATLAB, or equivalent software programming language
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computational methods for engineering analysis. Proficiency in scientific programming, preferably using Python, MATLAB, C/C++, or comparable programming languages. Experience with advanced sampling methods
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 8 days ago
research experience in RNA biology and/or high-throughput sequencing technologies would be a strong advantage Familiarity with programming languages such as R or Python for data analysis is beneficial
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Proficiency in advanced statistical software (e.g., R, Stata, or Python), as well as MS Excel and Chinese typing Experience in the implementation of community or educational research projects will be
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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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of multiplex cytometry data analysis programs including OMIQ Experience in statistical programming with R and/or Python. Knowledge of R/Python spatial transcriptomics data analysis packages such as Seurat/Giotto
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. Experiences with molecular dynamics (MD) simulation, machine learning, and strong programming skills (Python) are highly advantageous. Proficiency in English. Good communication skills. Good social competence
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candidates will teach introductory computer science sequences in Python (e.g. DCS 109X, DCS 229 Data Structures, and DCS 211 Computing for Insight), and other upper level computing courses based on their area
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: Strong quantitative and analytical skills. Proficiency in one or more statistical or programming platforms, including R, Python, SAS, or Stata. Experience working with complex datasets and epidemiologic
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at least two programming languages including Python Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants