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Education and Experience: *Master’s degree *Familiarity with big data frameworks or cloud/HPC environments is a plus *Experience in healthcare, biomedical, or EHR/EDR data *Experience with Python and relevant
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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). Knowledge in programming is required (Python is beneficial but not mandatory). Willingness to do experimental science, including instrument building, sample preparation, and working in laboratories
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programming languages (primarily R, Python, SQL, neo4j). Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Performs data cleaning, quality control
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
programme Reference Number AE2025-0564 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0564
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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and/or practicums) in research, including data analysis and dataset production. (Preferred) Prior experience building or maintaining productionized ETL pipelines in R or Python. (Preferred) Prior
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stereotaxic procedures Prior experience in analyzing experimental data in MATLAB and/or Python. See Table 24B for the salary range for this position. A reasonable estimate for this position is $75,600-$194,800
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and statistics in a higher education institution in Romania Specific Requirements advanced knowledge of econometrics and programming in Gauss and/or Matlab and/or Python and/or R is an advantage
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., Fura-2, GCaMP). Strong understanding of ion channel function and neuronal signaling pathways, especially in nociceptors. Data Analysis: Familiarity with tools such as MATLAB, Python, Clampfit, and ImageJ