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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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to phenotypic and/or genetic data, experience working with statistical software like R or plink, evidence of published research, excellent management and organisational skills, experience of working effectively
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Posting Details Position Information Job Title Postdoctoral Scholar Position Number PDS-RGS-07-25 Vacancy Open to All Candidates Department EHH BSOM R and GS Admin Department Homepage https
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 18 hours ago
in R or Python. Experience in applied economic analysis, with preference given to those with experience developing and using structural economic models. Experience with U.S. commodity price analysis
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative and autonomy to conduct fieldwork. Application Documents
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machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
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of Surrey, University of Leeds, UKCEH) and Chile (Universidad de Desarrollo and MICROB-R). You will use a system modelling approach to a) quantify available data, b) knowledge gaps and associated risks to c
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative