140 computer-programmer-"Multiple"-"U"-"Humboldt-Stiftung-Foundation"-"U.S" "Prof" PhD positions in United States
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, United States of America [map ] Subject Area: Computational harmonic analysis and machine learning Appl Deadline: none (posted 2024/10/14) Position Description: Apply Today is the last day you can apply for this position
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project management on a large clinical trial. Required Qualifications: A Ph.D. in health services research, health outcomes, epidemiology, health economics, health informatics, biostatistics, or a closely
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contributing to grant proposals. • Participate in teaching undergraduate courses (6 credit hours per year) Qualifications • Ph.D. in Operations Research, Industrial Engineering, Computer
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limited to: learning technology, information, language, and computing technologies to advance learning, training, cognitive development, and human performance. Position Overview Provides ongoing mentorship
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with commonly used tools such as OPAL-RT/RTDS, PSS/E, PSCAD, EXata. • Knowledge of cybersecurity of industrial control systems and/or quantum computing. Additional Information: Candidates must have
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review or select your application. Knowledge/Skills/Abilities: Sufficient relevant experience to contribute significantly to a specific project. Experience with the use of computers and other appropriate
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biology, biochemistry, cell biology, immunology, or microbiology Knowledge of computers, including Microsoft Word, Excel and PowerPoint. Working Conditions Lab Environment. Application Documents Resume
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biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan, execute
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program. There are two positions available: one with a stronger engineering development focus and a second with a stronger focus on the use of the imaging and associated subject demographics to establish
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scholarly activity in areas of interest. Scholarly activity is defined broadly and includes, for example, proteomics, LC-MS/MS-based approaches, data analysis and informatics for mass spectrometry-based data