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or Aerospace Engineering. First-author peer-reviewed published papers (and/or under review) Demonstrable research experience involving integration of hardware and software of robotic systems. Demonstrable
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. Key Requirements for Postdoc: Requires a PhD in Physics or closely related disciplines. Experience with numerical software (VASP, Quantum Espresso) and programming (e.g., MATLAB, Python) is required
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» Chemical engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in computer sciences or chemical engineering Cover letter, research summary and CV Strong skills in optimization and programming
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Postdoc position to support international research and capacity-building projects employing elect...
degree in geophysics, engineering, or a related field. Proven experience with EM data processing, inversion, and interpretation (e.g., TEM, AEM). Experience with geophysical inversion software, such as
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
a collaborative spirit and a drive for problem-solving. You'll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics
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research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high
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the preparation of peer-reviewed manuscripts, software packages and/or participation in international conferences. Candidates must hold a PhD in demography, epidemiology, public health or related discipline in the
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activities include supervising students and teaching. Your Qualifications PhD in Chemical Engineering, Chemistry, Physical Chemistry, or Mechanical Engineering with a focus on combustion/atmosphere) Proven
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organometallic and coordination compounds Specific Requirements good knowledge of the software packages Topspin, Mestrenova, Diamond, Thermo Scientific Xcalibur, Microsoft Office Fulfilling the standards provided
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or