20 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at Duke University
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. Occupational Summary The Duke Neuroradiology Division specializes in CT fluoroscopy guided spine intervention procedures to treat pain as well as the diagnostic workup and treatment of patients with CSF leaks
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, United States of America [map ] Subject Areas: Computer Programming Systems Modeling Biochemistry Atmospheric Science Appl Deadline: (posted 2025/02/19, listed until 2025/05/01) Position Description: Apply Position
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research studies related to DBS, virtual reality, and trauma therapy. · Collaborate with Dr. Suthana and other team members to develop research protocols and methodologies. · Collect, process, and interpret
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, work will involve the evaluation and modeling of plastic fragmentation and additive release from plastics as well as life cycle assessment of materials processing. Candidates should have a doctoral
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, excellent communication, data processing, organizational, written and oral presentation, and problem-solving skills. Experience in animal handling and/or high throughput sequencing analysis is strongly
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about new methods, is a plus. Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus. Strong motivation and
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processes that are disrupted across a range of conditions, such as major depression and autism spectrum disorders. Qualifications: The candidate must have a Ph.D. in neuroscience or a related discipline using
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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. Candidates should have advanced skills in programming (e.g., R or Python) for processing and visualizing geospatial data, particularly time series of remotely sensed data, as well as ecological datasets
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Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning