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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department
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Science or equivalent, with 3 years’ related work experience, or a Ph.D. degree in a relevant discipline; (ii) solid statistical and computing skills; (iii) effective communication skills in both written
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statistical analysis and computer programming in any of the following areas are highly valued: structural equation modeling, mixed effects modeling, mediation analysis, spatial modeling, web-based mapping
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of statistical techniques to ability interpret 16S rRNA data, including microbiome data. Good/strong organization skills; ability to multi-task, prioritize and meet deadlines. Must demonstrate attention to detail
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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federal, state, and institutional regulations. 4. Data Analysis and Dissemination: Conduct statistical analyses and interpret data related to host-parasite dynamics. Prepare manuscripts for peer-reviewed
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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researcher with expertise in the area of spiking neural networks and an interest in (applications of) probabilistic computing. The postdoc candidate will participate in the NWO NWA project "Acting under
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and Statistical Physics / Dynamical and non-equilibrium phase transitions , Mesoscopic Physics , Non-equilibrium many-body theory Ecology and Evolutionary Biology Ecology / Population Biology
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort