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productivity. Proficiency in statistical software (R, SPSS, or other) is required. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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skills Conceptualization and design Organization Planning Problem identification and resolution Project management Research Statistical analysis Skills: Machine/Equipment: Calculator Computer network
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(e.g. ADOS-2, ADI-R), is strongly preferred. Knowledge, Skills and Abilities: Knowledge of Microsoft Office suite. Familiarity with statistical packages (e.g., SPSS, R) Ability to work as a member of a
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-scale human health datasets (e.g., UKBioBank, WHI, All of Us) using statistical and artificial intelligence/machine learning techniques. Develop and implement machine learning models, including
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research in Statistics and the application of statistical methods to solve real-world problems in medicine and public health. The research will specifically involve developing innovative analytical methods
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section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Oral Communications, Statistics, Written Communication Questions For frequently
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.) The candidate should have an aptitude for theoretical/numerical modeling and have appropriate associated skills, including statistical analysis of data or model outputs. The candidate must have a strong interest
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Your profile PhD in psychology, with a focus on at least one of the below areas: Cognitive psychology Differential psychology Neuropsychology Evaluation and Assessment Methodology and Statistics Interest
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of Social Sciences but will also work also closely with colleagues in Social Statistics and Computer Science. The work shall be carried out in line with the grant application granted originally by the ERC (as
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. Particular emphasis to be placed on developing and applying emergent system identification and modal decomposition techniques as well as statistical analysis of large datasets. Candidate will disseminate