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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper
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-effectiveness evaluation and produce information to support decision-making in the development of the healthcare service system. In this role, you will contribute in particular to data queries, data processing
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://www.aalto.fi/en/tenure-track/interested-in-joining-our-tenure-track . About recruitment process Only applications submitted through Workday will be considered. We will start the evaluation process in the end
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more information, please contact: Innovation Advisor Pekka Kettunen, [email protected] or by phone +358 50 594 7050. In any question regarding the recruitment process, please contact HR Advisor
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design projects and industrial partners into courses) can teach industrial manufacturing processes for scaled production as well as some one-off prototyping skills is able to apply digital fabrication
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questions about the recruiting process, you may contact Department of Neuroscience and Biomedical Engineering’s HR, hr-nbe(at)aalto.fi . Aalto University reserves the right for justified reasons to leave the
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the Department of Chemistry and Materials Science, Antti Karttunen (3-14 August). For questions regarding the application process, please contact HR Partner Eeva Käki (availbale until 10th July). Emails: eeva.käki