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methods to provide explainable outputs from AI models in presence of attacks on the models or data, and scalable methods that move beyond feature attribution aiming for root cause analysis and decision
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Job Description Job Responsibilities: -Develop method for target and non-target analysis of emerging contaminants in different matrixes. -Adapt advanced materials and technologies for emerging
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. The ideal candidate thrives in interdisciplinary settings and is eager to contribute to method-driven research with real-world impact. Required qualifications include: PhD in electrical engineering, computer
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extensive epigenetic, genetic, and phenotypic data, applying cutting-edge analytic methods to uncover the biological underpinnings of mental health. You will contribute significantly to the Dunn Lab’s
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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, we will apply interdisciplinary approaches in structural biology (cryo-electron microscopy, cryoEM; crystallography), biophysical and biochemical methods, as well as functional studies conducted
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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
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. To this end, we will employ advanced molecular, cellular, and systems biology methods and tools, as well as various research models—from standard cell lines to primary lines and several mouse models
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& Experience: • Experience with qualitative methodology and survey methodology • Experience leading research studies that center people with limb loss and limb difference Required Licensure/Certification
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considering also the physical interactions between gesture and vocal production movements (e.g., breathing and articulation). The project looks at co-singing gesturing practices in three different vocal