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). Ability to perform simple descriptive statistics, hypothesis testing, and data visualization. Modeling and exploratory data analysis (EDA) to identify patterns, trends, and insights within datasets
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in live or fixed organisms, cells or tissues - Experience with data analysis in Python, R or similar - Experience working with animal models AND - Experience with mass spectrometry, including sample
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more effective screening and therapy. The postholder will focus on developing and applying advanced computer vision and machine learning methods for multimodal imaging and real-time analysis in
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, quantitative genetics, computational biology, or related field. Strong background knowledge of evolutionary ecology, population genetics, quantitative genetics, data analysis, ecological modelling, and data
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in one of the following: computational social science, ubiquitous computing, data science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be
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for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model
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at scientific meetings. • Support the training of undergraduate students in experimental design and data analysis. Minimum Qualifications: • Ph.D. in Molecular Biology, Biochemistry, Cell Biology, or a related
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visualization workflows (generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender
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methods, preferably SDS-PAGE, Western blot, MTT, PCR, ELISA, HPLC-SEC, DLS, and mass photometry; Experience in data analysis and visualization using statistical tools; Experience in method development and
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16 Sep 2025 Job Information Organisation/Company UNIVERSIDADE DE ÉVORA Department Catedra CEIIA Research Field Engineering » Other Researcher Profile First Stage Researcher (R1) Positions Postdoc