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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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and international research funding calls. REQUIRED PROFILE • PhD in Hydrology, Environmental Science, Remote Sensing, Data Science, Civil Engineering, or a related field. • Strong background in
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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Interaction with a design and data-oriented perspective. Experience in research in the domain of affective interaction design Background in large-scale data engineering Personal or professional experience
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skills in R and/or Python and experience in statistical modelling of high-dimensional biological data. Experience working in HPC environments and managing large-scale sequencing datasets is essential
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. The project has been ongoing since 2010 and has served over 10,000 couples. The Fellow will fill two primary responsibilities: 1) Research publication and grant writing as well as 2) Project management. Data
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I (Part Time) Posting Number req25586 Department James C Wyant Coll Optical Sci Department Website Link Location Tucson Campus Address Tucson, AZ USA Position Highlights The Large Optics Fabrication
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical
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26 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Technology » Energy technology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study (CBCS), a large, diverse population