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Details Title Postdoctoral Fellow in Materials Science & Mechanical Engineering - Microelectronics and Soft Materials School Harvard John A. Paulson School of Engineering and Applied Sciences
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to Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Institute of Mathematics, Prof. Dr. Chris Wendl (located: Johann von Neumann Haus, Rudower Chaussee 25, 12489 Berlin), Unter den
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competence, we will not appoint you to this position. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Science and
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, Geography, Civil Engineering, Computer Science, Mathematics, Physics or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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Participation Program at the U.S. Department of Defense . Qualifications The qualified candidate will have a PhD in biology, biochemical engineering or physics. Eligible applicants are those who have earned
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. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established
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arrangements. The post The Faculty wishes to recruit a Postdoctoral Research Fellow in Data Science and Data Engineering to support the work of Professor Gemma Sharp. This is a hybrid post based on the Exeter
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Our leading rail research group is recruiting for a Research Fellow to investigate the performance of railway infrastructure, particularly overhead line equipment structures and installations. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote...
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Minimum Qualifications: PhD in Geology, Geography, Civil Engineering, Computer Science, Mathematics, Physics or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data