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(postdoc) Limited until: 31.10.2032 Reference no.: 6212 There are many good reasons to want to research and teach at the University of Vienna. And one is why around 7,700 academic staff members before you
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), supported by the Department of Physical Medicine and Rehabilitation (PM&R), Penn State College of Medicine in Hershey, PA. LimbRehabCARES is a learning health systems (LHS) hub focused on advancing clinical
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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geoscientific process models, as demonstrated by presentations, publications and/or repositories Expertise in applying Bayesian statistical methods, machine learning methods, or related statistical inference
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. The position is also expected to advise and provide necessary lab training to graduate and undergraduate students. This oversight includes assistance with lab safety standards and protocols, experimental design
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or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when
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for support in technology development. You will work closely with a PhD researcher at the German partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across
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end on August 31, 2027. Renewal is dependent on the need for extension and/or if additional funding is secured to extend employment. Required Qualifications: A PhD in the area of plant breeding, plant
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for extension and/or if additional funding is secured to extend employment. Required Qualifications: Ph.D. in Horticulture, Plant Science, or related field within 5 years of hire and 3 years of experience in
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data