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webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl
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we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a
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funded by the National Science Foundation. The position is focused on performance analysis and optimization of the MILC code and the libraries it calls such as QUDA or Grid. The successful applicant can
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and experience with diagnosing ROMS simulations and observational data, running ocean models, coding, time series analysis, and internal wave processes. The successful candidate will be required to pass
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. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Links to relevant public code repositories that you may have contributed (optional) 2
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cardiovascular treatments. In this role you will apply both machine learning predictive modelling and human genetic analyses of non-coding regulatory sequences to identify cell-specific targets for coronary artery
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tracking) Memory and/or trauma Coding skills (e.g., Matlab or Python) Strong interest in psychical and past-life memory research; prior experience not needed Established research and publication record
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Previous Job Job Title Post-Doctoral Associate (Lindsey Lab) Next Job Apply for Job Job ID 368002 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code
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/diversity-blueprint /). Additionally, the University's Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a
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extension. Applications will be reviewed on a rolling basis. Applicants should submit a cover letter and C.V. online. Upon request, candidates should be prepared to submit references, code and/or writing