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Field
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, and benchmarking experiments Support of user experiments, commissioning and in-house research at MID Data analysis and publication of scientific results Requirements PhD degree in physics or a related
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such as Cornell’s Transportation Environment Analysis Model for Cities (Cornell TEAM-Cities), the emerging urban transportation, environment, and community health modeling Hub (uTECH Hub), and the
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participatory research approaches; Experience in scientific research in social and agricultural fields, solidarity economy and “other economies”, the commons and food networks, as well as action research
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merit. Experience of and interest in the analysis of medical images, omics data or other types of health data is considered advantageous. Strong programming and software development skills and familiarity
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of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power
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of information technology and communication; Solid background and research experience in two or more of the following areas: AI techniques to secure networked computing infrastructures; Data science and statistical analysis
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, from fellow academics to patients. You have experience with analysis of sensor data. You have an affinity for patient care and are able to communicate with patients. You have a good command of written
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start dates strongly preferred Duration: Initial appointment is for 1 year, with extensions (up to a total of 3 years) contingent upon performance Salary range: $80,000-$100,000 Apply here: https
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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conferences and journals, with experience in one or more of the following areas: mathematical analysis of AI models in terms of correctness of outcomes, neuro-symbolic reasoning in cybersecurity, efficient