198 parallel-and-distributed-computing-"UNIS"-"Meta" positions at Technical University of Denmark
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Job Description Are you a skilled and experienced professional with a background in microbial strain development? In this role, you will support industrial projects and play a key part in strain development activities associated with the Biofoundry. Enable strain development pipelines towards...
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
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Job Description We are now advertising a new position at DTU Physics for the second half period of our project UltraBat - Capturing Ultrafast Electron and Ion Dynamics in Batteries - generously funded for 4 years by EU Horizon RIA with partners in Denmark, Germany, and France. You will be part...
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Job Description Do you want to make a difference for future sustainable food production by contributing to an international project on developing “cow-free” milk ingredients? Within the next 25 years the world’s population will need up to twice the amount of protein compared to today. Topped by...
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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at Dartmouth College (USA). To follow the DTU program, you will be granted a unique study environment, together with several PhDs and Post Docs in related fields. Your primary tasks will be to improve
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processes, preferably HTPEM fuel cells. Proficiency in relevant computational tools, such as COMSOL Multiphysics. Familiarity with degradation mechanisms and the transient behavior of PEM fuel cell stacks is
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment We will be using shortlisting based on educational background, experience and preferred qualifications and call a number of
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system