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they apply for. The following qualifications will count in the assessment of the applicants: For research area (a), prior experience with IRT/mixed-effects logistic regression and international large
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across four interconnected project areas, each offering structured training and hands-on learning experiences. Project 1: Research and Data Analysis You will gain experience in data science for PHSA’s core
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tasks of the role include: Conducting both field and in-house experiments and ensuring high standards of quality control Collecting, analysing, reporting research data and developing model(s) for
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
integrated data systems. Project outcomes will enhance assignment allocation and improve the efficiency and consistency of pharmaceutical quality assessments. Learning Objectives: You will gain experience in
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Fellow (MSoDA) Department of Sociology and Social Policy (Post Ref.: 26/241/JAC) The Department of Sociology and Social Policy brings together scholars with international research experience and
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degree or equivalent postgraduate qualification in engineering, science, technology, business or a related field. At least 15 years of relevant experience, including senior responsibility for deep-tech
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, Electronic Engineering or a closely related discipline. Essential requirements include: Experience in the development and testing of optical instrumentation and biomedical devices. Expertise in biomedical
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, experiences, and approaches to their work. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: PhD in a relevant
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, or sustainability economics. • Strong knowledge and practical experience in Difference-in-Differences (DID) models and other causal inference methods. • Experience working with large socioeconomic