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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 7 hours ago
program management skills with experience in independently planning and executing large academic or corporate programs; ability to define and analyze data from a variety of sources to ensure programs
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applications in forest monitoring. Job description You will support the TreeAI global initiative by developing data driven methods to enhance large scale tree monitoring. The role focuses on managing and
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an optimal data analysis model that is applicable and reproducible on a large scale and across different environmental conditions and farming systems. The expected outcomes will make it possible to integrate
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 19 hours ago
Posting Description TECHNICAL ASSOCIATE I, Chung Lab – Picower Institute for Learning and Memory, will play a critical role in protocol development/optimization and data generation for a large NIH
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Depressive Disorder (MDD) and advance patient-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD
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at the Department of Medical Biochemistry and Biophysics, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://www.umu.se/en
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phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between impulsive personality traits and alcohol involvement
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. We study the efficacy, safety and use of medicines in groups of patients using large data sets on drug use, clinical outcomes and patient characteristics. You manage the data sets, support researchers
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FieldPhysicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity
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, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See