21 engineering-image-processing Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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) and dean Johanna Niemi (johanna.niemi(at)helsinki.fi ). Further information about the recruitment process can be obtained from HR Specialist Mella Mattila (hr-oiktdk(at)helsinki.fi ). The Faculty of Law
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written and verbal communication skills in English are required. Good co-operation and interaction skills are considered an advantage for the applicant. What do we offer We offer you a highly international
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communication skills in English are required. Good co-operation and interaction skills are considered to be an advantage for the applicant. What do we offer? We offer you a highly international research
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sciences and have experience in algorithm development. Experience in processing of high-throughput sequencing data is an advantage. Excellent written and oral communication skills in English are needed. You
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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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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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processes contributing to cancer. The candidate We seek a motivated candidate with a strong interest in computational cancer research, who is enthusiastic about applying deep learning methods to cancer data
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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency