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mechanics using wearable sensors. • Models of bone health in running populations. • Models of tissue stress and strain in athletes. • Models of health and performance in female athletes. • Models of athlete
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-quality data on spatial and temporal development of hydrogen jets injected into high-pressure and temperature shock-tube environments. You should possess (or be near completion) a relevant PhD/DPhil in
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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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committed team — we want to hear from you. Required Qualifications: A PhD in a quantitative field with a strong programming and statistics background Experience analyzing large datasets; familiarity with
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twins to monitor and optimize urban systems, including infrastructure, mobility, and energy management. • Integrate real-time data from sensors and IoT devices to develop dynamic models. • Model
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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PhD degree in civil, mechanical, or electrical engineering, computer science, or a closely related field. A desire to engage in cross-disciplinary research at the intersections of civil, mechanical
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We are looking for an excellent post-doctoral candidate with a PhD degree (or near completion) in quantum optics, solid state quantum physics, 2D materials science, magnetic resonance or related
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
Planck Institute of Biophysics is seeking for highly motivated PhD student and Postdoctoral Researcher (2 positions – f/m/d) to study genome organizing macromolecules, including Structural Maintenance