Job Description: Brown Universitys Center for the Study of Race and Ethnicity in America (CSREA) seeks an intellectual and strategic leader to serve as the Associate Director of Strategic Research Initiatives and Programs. This individual acts as
Basic Qualifications Education Requirements: Bachelors degree in Electrical Engineering, or a related Science, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Masters degree plus a minimum of 6 years of
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension
Business Introduction At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines,
Accountant II The Accountant II prepares, reviews and analyzes financial information to provide accurate and useful information to management. Job Responsibilities: Prepares and reviews income and balance sheet statements, consolidated statements and various other accounting statements
Associate Manager Real Estate Portfolio - REMOTE The Associate Real Estate Portfolio Manager will act as a team lead in the negotiation, financial evaluation, problem solving and legal research associated with Ryders Real Estate Portfolio. This is
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side