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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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grant claim processes and contribute to financial planning and analysis. This role will report to Senior Associate Director and is ideal for candidates with a strong foundation in data analytics and audit
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Role : The Machine Learning for Integrative Genomics team, led by Laura Cantini, is recruiting a permanent research engineer. The successful candidate will carry out single-cell data analysis in
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systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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). Experimental Design: Participate in the development of experimental protocols and human collective behavior experiments. Data Analysis: Perform advanced statistical analysis of experimental data. Modeling
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software. PREFERRED QUALIFICATIONS: Experience and expertise in analysis of high-dimensional genomic data, including DNA methylation. Experience and expertise in analysis of longitudinal data Experience and
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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responsible for Data Architecture & Management; Data Analysis; Protocol Curation & Versioning; Notetaking & Policy Enforcement; Cross-Functional Collaboration; Governance & Continuous Improvement; and performs