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Open nowPosted 2 days ago

PHD Position Data Science

EURES job mobility portal314,718 open roles

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Netherlands
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Your applicationOpen nowPHD Position Data ScienceEURES job mobility portal · Netherlands
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  5. 34.1%30 days
This job: posted 2 days ago

The posting

PhD position Data Science PhD PhD position Data Science Are you interested in using data science to understand how digital measures can capture clinically meaningful aspects of reward, motivation and impulsivity? Do you want to develop and apply innovative digital proxies and combine them with neurobiological markers to advance precision medicine across mental and metabolic health conditions? Then this PhD position in an international pioneering project may be an excellent opportunity for you. You will work in an interdisciplinary, international research project aiming to advance a transdiagnostic precision-medicine framework centred on Reward, Motivation and Impulsivity. The project brings together expertise in longitudinal research, biomarker discovery, clinical validation, data science, evidence synthesis and stakeholder engagement. A central ambition is to move beyond disease-specific approaches by identifying biological, behavioural and digital markers that can help characterise clinically meaningful processes across different health conditions. As a PhD candidate, you will contribute to this ambition by helping establish the evidence base for digital proxies, developing and applying data-driven measures, and investigating their relationships with neurobiological markers. https://werkenbij.rug.nl/vacature/phd-position-data-science-2465/?langlang=en What are you going to do? We are looking for an ambitious and analytically minded PhD candidate to investigate digital proxies of Reward, Motivation and Impulsivity (RM&I) and their relationship with neurobiological markers and clinically relevant outcomes. Your work will be connecting systematic evidence synthesis, data science, longitudinal research and clinical validation. Your research will contribute to understanding whether and how digital measures can provide scalable and meaningful proxies for RM&I-related processes across major depressive disorder (MDD), Alzheimer...

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