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Field
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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale
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qualifications and experience: Excellent command of English, both written and spoken; proficiency in Dutch is an advantage Adequate knowledge of statistics, including experience with data analysis Desirable skills
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, or Su Shin, Co-Evaluator, at [email protected] Responsibilities The Research Associate will work closely with the principal investigators and will be responsible for: Conducting statistical analyses
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bioaccessibility · Scientific support in the preparation, implementation and evaluation of dietary intervention studies · Statistical analysis, interpretation and presentation of scientific data · Publication
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
to any upload field): cover letter with a brief description of experience as an RA and any independent research; description of familiarity with statistical and computer packages; names of two references
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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: Collection, analysis and interpretation of experimental data, using statistical software and other methods to guarantee the accuracy of the results. Dissemination and publication: Assistance to congresses
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observables, including: the spatial distribution and migration of seismicity, magnitude-frequency statistics and temporal clustering, source properties (strain drop, duration, moment-duration scaling), and
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience group headed by Prof. Sonja Grün develops computational methods to analyze the joint activity