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languages. Have experience of quantitative analysis, computational modelling, bioinformatics, machine learning, or another form of data-intensive academic research. Have a strong interest in interdisciplinary
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Description Job Summary: The We-Search Lab at Harvard University, directed by Ashwini Ashokkumar, is seeking a full-time Researcher Assistant with computational and data analysis skills for an exciting series
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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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linked to emotion and memory (the frontal cortex and hippocampus). 4. Integrates all data to uncover how enrichment influences the complex connections between brain, gut, and behavior. Main tasks Plan and
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background in quantitative data analysis, mathematical modelling, and experience in methodologic development and implementation; (d) be able to demonstrate a high level of creative ability in research in
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. Required PhD student academic qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language
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or manuscripts in preparation. Experience with fMRI data acquisition and/or analysis (e.g., FSL, SPM, AFNI, fMRIPrep, nilearn). Proficiency in at least one programming language (e.g., Python, MATLAB, or R
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, including: Advanced training in mixed methods research (qualitative, comparative, and structured data analysis) Experience with international fieldwork in the Netherlands and the UK A publication-oriented PhD
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analysis Participation in administrative tasks of the institute Your Profile In-depth knowledge of transportation planning, road design and traffic data analysis Very good computer skills German and English
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BeFC and Univ. Grenoble Alpes, CNRS, 38000 Grenoble, France | Grenoble, Rhone Alpes | France | 1 day ago
16 Apr 2026 Job Information Organisation/Company BeFC and Univ. Grenoble Alpes, CNRS, 38000 Grenoble, France Research Field Chemistry Chemistry Technology » Energy technology Researcher Profile