18 biomedical-signal-processing Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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of transcription by RNA polymerase II (Pol II) in normal and disease states. We are particularly interested in essential and biomedical-ly important transcriptional cyclin-dependent kinases (tCDKs) that trigger
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, the Digital Precision Cancer Medicine Flagship (iCAN), and among others. Your mission To qualify, applicants must hold a PhD in computational biology and possess extensive knowledge of biomedical sciences. A
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. Depending on the final job description, the position may require a security clearance. The applicant is expected to provide a research plan and indicate areas of own research interest. They do not have to be
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. The applicant is expected to provide a research plan and indicate areas of own research interest. They do not have to be ones that already now are part of institute’s research profile. The appointee
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computational biology and possess extensive knowledge of biomedical sciences. A strong publication record and a solid background in computational RNA biology, particularly in alternative splicing regulation
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computational biology and possess extensive knowledge of biomedical sciences. A strong publication record and a solid background in computational RNA biology, particularly in alternative splicing regulation
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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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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
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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