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for applications in desalination, energy generation, and electrochemical processes. The Postdoctoral associate will collaborate with a multidisciplinary team of researchers and graduate students, gaining access
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, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly
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. Candidates with PhDs in Physics or Computer Science may also be considered if they willing to collaborate with mathematicians on these topics. For consideration, applicants need to submit a cover letter, a
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, programming and coding (preferably using Python and C++) along with GUI and simple computational tool development. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists
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rehabilitation. The successful applicant will have the following technical experience in: PhD degree in Electrical, Mechanical, or Material Engineering (or related field) OR 3-5 years of industry experience
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students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Associate position must
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
consisting of PhD-level scientists, graduate students and undergraduate students, ensuring the candidate learns valuable skills in writing manuscripts and grant proposals, advising fellow researchers, and
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consisting of PhD-level scientists, graduate students and undergraduate students, ensuring the candidate learns valuable skills in writing manuscripts and grant proposals, advising fellow researchers, and
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development of the group tasks and help in supervising PhD students. Applicants must have a PhD in experimental high energy physics or related field. Applicants need to submit a cover letter, curriculum vitae
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desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and engineers, graduate students and undergraduate students. The successful