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of pharmacologically-active molecules using the software. The candidate will work on this well-resourced project with two PhD students, both starting in September 2026. The focus of the successful
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 11 days ago
# Completed university studies (PhD) in the field of Physic, Chemistry or a related field # Advanced and in-depth knowledge of electronic structure theory # Strong and highly developed expertise in density
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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(negotiable) Project details: www.boundariesofdrinking.pl Requirements: PhD in the humanities or social sciences, obtained no earlier than 7 years ago (this period may be extended according to the post-doc
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. Ability to analyse data and interpret results will be necessary. Industrial Electronic Engineering and Automation, Computer Science or equivalent degrees will be welcomed. Where to apply Website https
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7 years before 1 January of the year of employment in the project. For researchers with multiple PhDs, the date of the first PhD award is deemed the reference date. Extension might apply according
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environment. Details about the project: https://www.ncn.gov.pl/sites/default/files/listy-rankingowe/2024-09-16-titokb02cwd/streszczenia/637514-pl.pdf Leader dr Marcin Tabaka Microbes inhabit almost every part
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completed the PhD and is prepared to contribute immediately to assigned research projects associated with the NSF award. The postdoctoral researcher will be expected to work on analytical and implementation
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and