14 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions in Finland
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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understanding of fundamental processes in life sciences. The Nordic EMBL Partnership is seeking postdoctoral fellows for collaborative projects in molecular medicine through the third NORPOD call. Description We
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experience and including a salary component based on personal performance. Standard Finnish pension benefits and occupational health care are provided for university employees. Selection process: Application
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experience and including a salary component based on personal performance. Standard Finnish pension benefits and occupational health care are provided for University employees. Selection process: Application
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for separately: www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell . The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https
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information about the position may be obtained from Professor Suvi Keskinen, suvi.keskinen@helsinki.fi . Further information about the recruitment process can be obtained from HR Specialist Minna Toivonen hr
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utilized for fundamental studies probing quantum mechanics in massive systems, as well as for applications in quantum information processing. The measurements are carried out at deep cryogenic temperatures
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. The position will be filled as soon as possible, or as agreed with the selected candidate. Selection process and employee benefits University of Helsinki welcomes applicants of any gender, linguistic and
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researchers (for further information, please see: https://blogs.helsinki.fi/viikki-postdoc/ ). Application and selection procedure To apply, please send the following documents in a single pdf file: * A letter
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offered a fully funded contract of up to 3 years. About the position The postdoctoral research position will require developing and applying cutting-edge machine learning methods to computer vision and