96 postdoctoral-position-in-computational-chemistry PhD positions at Technical University of Denmark in Denmark
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process
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candidates with a degree in materials science, solid state chemistry, electronic engineering or similar. Experience with one or more of the following areas is considered an advantage. Fuel cells and
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Enrolment and Funding The position is funded through DTU’s strategic alliance with
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sciences, and engineering. The PhD position is based in the Section for Bioinformatics, which focuses on developing and applying computational methods to solve complex problems in genomics, systems biology
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applications for a PhD position in the research section Business Development. Our research focuses on the economic and societal implications of green technologies, and we have a particular focus on the green
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, and Computational Social Science. This position is funded under the DTU-JRC Collaborative Doctoral Partnership. Responsibilities and qualifications Your primary responsibilities are: Become familiar
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for a 3-year PhD position in Healthcare Operations with a focus on Hospital-at-home. The project is starting in January 2026 or as soon as possible thereafter. The position is part of a joint research
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/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process
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Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria