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, developing upscaling techniques to build continuum models for biofilm mechanics, running code to simulate biofilms using continuum methods, and interfacing with other team members and experimental
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designing experiments and analyzing datasets. Maintains, updates software on TAMU cluster for the group. Contributes to our code base and to keep your own code in a github (or equivalent) repository with
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-in-cell computer codes hosted on local and national high-performance computing clusters; establishing all-optical diagnostics to map temperature evolution in plasma accelerators; exploring novel inter
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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oral communication skills are required. - A master's degree in public health, epidemiology, biostatistics, or a related field; experience with data analysis or coding in R, SAS, Stata, or similar
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professionally stimulating working environment Position as postdoctoral fellow (code 1352 in the basic collective agreement) and a gross annual salary of NOK 657 000 upon appointment. Further increases in salary
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Experience with coding in Python. Experience with powerpoint presentation. Comfortable presenting work to the RAPID and RISE teams. Strong written and interpersonal communication skills, with an emphasis
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, difficulties and results clearly and in a timely manner to the research team both verbally (team meetings) and in writing (email, research log); using Git to manage and collaborate on research code and
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environments High proficiency in writing code for data analysis (e.g. using R / Python) and using relevant software Demonstrated capability of writing for publication in high-impact academic journals Excellent
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with their experiments when required. Keep an accurate and complete lab book which includes experimental details and raw data. Adhere to the lab code of conduct, including upholding the highest standards