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Ref.: 536634 Work type: Full-time Department: Centre for Information Technology in Education within the Faculty of Education (10001) Categories: Senior Research Staff & Post-doctoral Fellow
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bioinformatics tools, including specialized research databases and software (e.g., Ensembl, Fiji, NCBI, KEGG Pathway and Gene Ontology (GO) Analysis, SPSS, etc.) (0–10 points). Experience operating bioreactors and
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Population Health, Mathematics, Statistics, Computing, or a related subject, alongside demonstrable experience working with large scale datasets. Proficiency in the use of statistical programming languages and
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, additive combinatorics, analysis of boolean functions Elon Lindenstrauss Homogeneous dynamics, ergodic theory, number theory, additive combinatorics Nathan Linial Combinatorics and theoretical
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with research data collection, processing, analysis, and visualization SKILLS and ABILITIES Strong written and verbal communication skills Intermediate proficiency in Microsoft Office Suite High level of
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
expected to work closely with a sub-team as well as collaborate with the broader full team. REQUIRED: Ph.D. in applied mathematics, computer science, software engineering, economics, energy systems
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, responsible and able to work independently and within a team. The appointee will work on various projects related to children’s and adolescents’ mathematics and science learning. Duties include literature
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models and analysis pipelines for real-time performance, enabling adaptive imaging and feedback control Design active-learning and retraining strategies to robustly generalize to new microbial communities
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day-to-day experimental activities relating to research projects assigned by the faculty supervisor to a high standard. Retain accurate records of research findings along with analysis of results
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application of statistical modelling, causal inference, and machine learning methods. The work will combine theoretical model development with the analysis of large-scale, high-dimensional transport datasets