56 parallel-and-distributed-computing-phd-"Meta"-"Meta" Postdoctoral positions at Texas A&M University
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PhD in Physics A well-qualified candidate for this position will also possess: Excellent written and oral communication skills (incl. track record of publications). Ability to work independently and
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Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in
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Duties/Tasks: Research and Development Formulate and analyze models for transmission/distribution, microgrids, and shipboard power systems (steady-state and dynamic). Design optimization and control
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including
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Salary: $62,500 annually Special Instructions: A cover letter and resume are strongly recommended. You may upload these in the CV/Resume section. Required Education and Experience Appropriate PhD in a
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employment may be contingent upon future funding. Required Education and Experience: Appropriate PhD in neuroscience, pharmacology, or related areas. If the degree had not been conferred at the time applicant
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position is grant funded; future employment may be contingent upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications PhD. in
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laboratory instrumentation and follow applicable safety standards. Qualifications: Appropriate PhD. A well-qualified candidate will also possess: PhD. In Chemistry. Experience in inorganic and organometallic
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under CV/Resume or upon answering the questionnaire you may attach the documents. Schedule: May have to work on the weekend and/or after normal hours. Qualifications Required Education Appropriate PhD in
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: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data