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equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team
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application for our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is open for
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, and materials science, with a strong publication record (h-index 36, i10-index 69). The second supervisor is Dr. Indrat Aria, a materials scientist with expertise in low-dimensional nanomaterials and
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using LP-TEM Execution of TEM analyses as part of our TEM facility at HI ERN Presentation of scientific results at national and international conferences as well as publication in peer-reviewed journals
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application! We are looking for a PhD student in Scientific Visualization in the scientific visualization group at the division of media and information technologies based at the Department of Science and
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) and should be used for a doctorate. Participation in the accompanying doctoral program is compulsory. This serves to impart both scientific and methodological knowledge and offers the opportunity
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track. Ideal candidates are late-stage Assistant Professors or Associate Professors who have demonstrated early success in establishing independent research programs, including securing independent grant
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robotics, and materials science. Project description: 3D-printing of soft robotics is a growing field, with many applications in biomedical devices, electronics, and autonomous machines. Actuators to drive
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Title: Position Type: Student programs Position Location: Lausanne, Vaud 1015, Switzerland Subject Area: Fluid Mechanics Appl Deadline: 2025/12/15 11:59PM (posted 2025/07/24) Position Description: Apply
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neurophysiological recordings, imaging studies, and behavioral experiments Present research findings at internal seminars, external conferences, and scientific meetings Actively engage in the Neuroscience PhD Program