• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
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• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
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Develop and implement statistical / predictive models and machine learning algorithms for investment forecasting, credit risk modelling, and risk assessment.
Document model development processes and findings, evaluate model performance through validation techniques, and contribute to model refinement and optimisation efforts.
Collaborate with various teams to gather, clean and prepare data from various sources for analysis.
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• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
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Plan and conduct experiments according to project plans and keep timelines
Design and conduct investigations and experiments, record and analyze or interpret the results in support of project development objectives, keep accurate records of work undertaken
Supervise and support other team members in planning and execute experiments
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• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
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• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
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Development of vision-language methods for vision and language, including visual question answering, visual dialog, visual commonsense reasoning, visual captioning.
Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery.
Development of deep learning methods and theory.
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• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
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A strong level of proficiency in advanced analytics tools (e.g. SQL, R, Python, Spark) to extract, analyze and derive insights out of large and ambiguous datasets
Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, Gradient Boosting Machines (GBM), Neural Networks etc. is required
Strong problem-solving ability, and willingness to dive deep and work on difficult and ambiguous problems with unknown outcomes.
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• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
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Develop and maintain machine learning/simulation models and optimization methods for business processes, and create pipelines for training, validating, and deploying models across environments.
Design product experiments, interpret results for impactful conclusions, and conduct statistical data analysis and visualization to answer key business questions.
Engage in technical discussions through code reviews and architecture sessions.
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• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
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A strong level of proficiency in advanced analytics tools (e.g. SQL, R, Python, Spark) to extract, analyze and derive insights out of large and ambiguous datasets
Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, Gradient Boosting Machines (GBM), Neural Networks etc. is required
Strong problem-solving ability, and willingness to dive deep and work on difficult and ambiguous problems with unknown outcomes.
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Contribute to the development of Helicap's technology and analytics platform, and management of Helicap's databases.
Develop and implement statistical / predictive models and machine learning algorithms for investment forecasting, credit risk modelling, and risk assessment.
Document model development processes and findings, evaluate model performance through validation techniques, and contribute to model refinement and optimisation efforts.
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to join our dynamic team at a leading biotechnology company. If you are passionate about gene therapies and cutting-edge scientific research, this role might be perfect for you!
Roles & Responsibilities:
Design and implement bioanalytical assays for gene therapy manufacturing.
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Spearhead optimisation of portfolio monitoring process. Proactively seek learning opportunities to enhance technical skills and deepen understanding of data science methodologies, tools, latest industry trends and best practices. Skill Sets and Requirements:
2 - 5 years of relevant working experience in data science, data analysis, statistical modeling, and/or machine learning, and looking to develop a meaningful career in FinTech / data science / investments. Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Programming skills in Python, SQL, and/or another programming language, with a willingness to learn and develop technical proficiency.
Familiarity with data manipulation and analysis libraries, such as Pandas, NumPy, or scikit-learn. Exposure to data visualisation tools and techniques, such as Matplotlib, Seaborn, or Tableau. Knowledge of basic statistical concepts and techniques, such as hypothesis testing, regression analysis, and time series analysis.
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Development of vision-language methods for vision and language, including visual question answering, visual dialog, visual commonsense reasoning, visual captioning.
Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery.
Development of deep learning methods and theory.
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• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
...
A strong level of proficiency in advanced analytics tools (e.g. SQL, R, Python, Spark) to extract, analyze and derive insights out of large and ambiguous datasets
Understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, Gradient Boosting Machines (GBM), Neural Networks etc. is required
Strong problem-solving ability, and willingness to dive deep and work on difficult and ambiguous problems with unknown outcomes.
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with a focus on property technology at Infra Mobile Digital, you will play a vital role in understanding the unique needs and challenges of the property industry. Your primary responsibility will be to gather,analyze, and documentbusiness requirements, as well as improve the user-friendliness of our property technology solutions. Your expertise will ensure that our software solutions align seamlessly with the specific demands of the property sector, leading to successful project implementations.
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