509 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions in United Kingdom
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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or near completion or other relevant post-graduate research qualification, the fellows will be creative, enthusiastic and have experience in relevant research, methods and outputs. We are seeking
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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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of key components of flue gases. Investigate the conversion of formic acid (CO) and conversion into hydrogen using simulation tools such as ANSYS FLUENT and CHEMKIN, delivering numerical information over
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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and
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programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
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you ongoing opportunities to deepen your skills. Choose from an extensive range of courses free of charge. Benefits: The University of Vienna also offers you numerous benefits, such as a company pension
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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- Develop original numerical methods for facility simulation in presence of expansion waves - Demonstrate improved estimates of rate constants for two-temperature models - Contribute