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-mail: marja.mikkola@helsinki.fi HiLIFE/Institute of Biotechnology, University of Helsinki, Finland Selected publications Lan Q, Trela E, Lindström R, Satta JP, Kaczyńska B, Christensen MM, Holzenberger M
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R
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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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). [Berkman2023] Berkman, I. R., Lyasota, A., de Boo, G. G., Bartholomew, J. G., Lim, S. Q., Johnson, B. C., McCallum, J. C., Xu, B.-B., Xie, S., Abrosimov, N. V., Pohl, H.-J., Ahlefeldt, R. L., Sellars, M. J., Yin
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of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research and development (R&D) of CADt, CADe, and CADx-type tools with
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programming of algorithms. The use of programming languages such as Python, R, SQL, and C++ will be a daily part of the project, and proficiency in these languages is required. However, additional datasets will
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to Kiran R. Patil (kp533@mrc-tox.cam.ac.uk ) If you have any queries regarding the application process, please contact hradmin@mrc-tox.cam.ac.uk Further information can be found on our website: https
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can be directed to Kiran R. Patil (kp533@mrc-tox.cam.ac.uk ) If you have any queries regarding the application process, please contact hradmin@mrc-tox.cam.ac.uk Further information can be found on our
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to phenotypic and/or genetic data, experience working with statistical software like R or plink, evidence of published research, excellent management and organisational skills, experience of working effectively