Current jobs related to Evaluating Multimodal Health Data: A PhD or Postdoc Position - Copenhagen, Copenhagen - ELLIS
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Copenhagen, Copenhagen, Denmark beBee Careers Full timePhD and Postdoc Positions: Evaluating Teams and Algorithms for Multimodal Health DataThe IT University of Copenhagen invites highly motivated individuals to apply for a PhD or 2-year Postdoc position.Machine learning competitions in healthcare face limitations in real-world applications. They often result in similar algorithms that excel on specific accuracy...
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Copenhagen, Copenhagen, Denmark beBee Careers Full timeSeeking experts in multimodal health data evaluation to join our research team. The ideal candidate will have a strong background in machine learning and experience working with diverse data types.Job DescriptionWe are looking for two PhD students and two postdocs to work on evaluating metrics for multimodal health data. This project aims to design...
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Copenhagen, Copenhagen, Denmark PARETO SECURITIES AS Full timeMultiple PhD and postdoc positions on evaluation metrics for multimodal health data at the IT University of Copenhagen The PURRlab (Pattern Recognition Revisited lab) at the IT University of Copenhagen invites highly motivated individuals to apply for a PhD or a 2 year Postdoc position starting late 2025 or in 2026. The earliest possible start date is 1...
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Copenhagen, Copenhagen, Denmark beBee Careers Full timeJob OverviewWe are seeking highly motivated and experienced professionals to join our research team in evaluating metrics for multimodal health data.The selected candidates will work on designing competitions with multiple metrics, including what the metric measures and which subgroups of patients it measures on.Project AimsThe project focuses on two...
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Multimodal Health Data Evaluation Metrics
5 days ago
Copenhagen, Copenhagen, Denmark beBee Careers Full timeThe IT University of Copenhagen invites highly motivated individuals to apply for PhD or Postdoc positions. The project, funded by the Novo Nordisk Foundation, aims to develop novel evaluation metrics for multimodal health data. This will involve designing competitions with multiple metrics, both in what the metric measures and which subgroups of patients it...
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Copenhagen, Copenhagen, Denmark ELLIS Full timeA PhD or 2-year postdoc position is available at the IT University of Copenhagen, focusing on evaluating multimodal health data.ContextMachine learning competitions are often touted as drivers of algorithm development in healthcare but face limitations in real-world applications.Competition may deter underrepresented groups in computer science from entering...
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Copenhagen, Copenhagen, Denmark beBee Careers Full timeMultiple PhD and postdoc positions are available at the IT University of Copenhagen. These positions aim to hire 2 PhD students and 2 postdocs to work on developing novel evaluation metrics for multimodal health data. The project involves designing competitions with multiple metrics to evaluate algorithm robustness and generalizability.Candidates will have...
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Copenhagen, Copenhagen, Denmark ELLIS Full timeJoin us in exploring the challenges of evaluating teams and algorithms in healthcare.About the ProjectFunded by the Novo Nordisk Foundation Data Science Ascending Investigator grant, our research aims to develop novel methods for evaluating multimodal health data.Key ObjectivesDesign competitions with multiple metrics to capture algorithm robustnessEvaluate...
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Evaluating Teams and Algorithms
5 days ago
Copenhagen, Copenhagen, Denmark beBee Careers Full timeThe PURRlab team at the IT University of Copenhagen invites applications for PhD or Postdoc positions. The project involves developing novel evaluation metrics for multimodal health data, including designing competitions with multiple metrics. This will involve developing novel methods to evaluate and increase the diversity of the evaluation data, as well as...
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Copenhagen, Copenhagen, Denmark beBee Careers Full timeEvaluation Metrics for Advancing HealthcareWe are seeking a highly motivated individual to join our team in designing evaluation metrics for multimodal health data. The goal is to promote more diverse and robust algorithm development in machine learning competitions, particularly in healthcare.Project OverviewThe project CHEETAH: Challenges of Evaluating...
Evaluating Multimodal Health Data: A PhD or Postdoc Position
2 weeks ago
We invite highly motivated individuals to apply for a PhD or 2-year postdoc position at the IT University of Copenhagen.
Project OverviewThe project is funded by the Novo Nordisk Foundation Data Science Ascending Investigator grant titled CHEETAH, led by Associate Professor Veronika Cheplygina.
Machine Learning Challenges in HealthcareMachine learning competitions often face limitations in real-world applications. For example, detecting lung cancer in chest images can result in similar algorithms that excel on specific accuracy metrics but fail to generalize to diverse data.
An insufficient single performance metric like accuracy can lead to too similar algorithms that do not bring added value despite their high training costs and carbon footprint. Moreover, competition may deter underrepresented groups in computer science from entering or staying in the field.
Research Objectives- Design competitions with multiple metrics
- Evaluate and increase diversity of evaluation data
- Evaluate similarity of algorithms
- Develop methods to combine and reuse algorithms for increased robustness without disproportionate carbon footprint
We will focus on two multimodal disease prediction data: chest x-rays with radiology reports and retinal images with tabular clinical measurements.
