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, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from
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will inform (1) the design of landers for future missions, and (2) the scientific interpretation of future mission data, by linking measured surface properties to processes such as resurfacing and
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execute qualitative and quantitative studies using a CO2 inhalation procedure; Implement the findings of these studies in a single-case experimental design (SCED); Test panic-prone participants as
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and professional development. For more information, please visit Working at Utrecht University . Selection process At Utrecht University, we strive to be a place where everyone feels at home. We value
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We invite applications for a PhD position in Efficient Edge Intelligence
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and Manufacturing Processes (IMD-2), we work in a dynamic and international team of over one hundred materials scientists, chemists, physicists, mechanical engineers and technical staff
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
this process promotes metastasis. The results obtained may contribute to the identification of new prognostic markers and potential therapeutic targets, supporting the development of more effective treatments
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cultures considered essential. Skills in bioinformatics, quantitative image analysis, and data processing will be a strong advantage, as the project will generate rich multiparametric datasets. Prior
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the employment procedure. Selection process Application procedure Please send us a motivation letter plus your complete and up-to-date curriculum vitae, including at least two references. The maximum length
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trace element distributions at high spatial resolution. The resulting data will be integrated into thermodynamic models (e.g. FACTSage-based approaches) to support process optimisation and control in