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candidate will also be involved in data acquisition, image processing, segmentation and workflow development to advance structural cell biology research. The World's Brightest Minds Always Innovate At St
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account may cause delays in a hire process. Department: CFE Research Time Type: Part time FLSA Status: Non-Exempt Job Description: Summary: The Graduate Quantitative Research Methodology Coordinator
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account may cause delays in a hire process. Department: CFE Research Time Type: Part time FLSA Status: Non-Exempt Job Description: Summary: The Graduate Qualitative Research Methodology Coordinator provides
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molecular imaging and probe development, the department continues to pioneer new approaches that advance both diagnostics and targeted therapies. This culture of innovation positions the department
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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and
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the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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Doctoral candidate in the nexus between doping and thermal conductivity in EU Training Network FADOS
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 30 Sep 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Medical Image Processing, ultrasound/MRI/CT imaging, or a
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. *Please note that this is a PhD level role but candidates who have submitted their thesis and are
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research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image analysis and coordinate the teaching