44 parallel-processing-bioinformatics uni jobs at Technical University of Denmark in Denmark
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DTU at DTU – Moving to Denmark . Application procedure Please submit your online application no later than 12 August 2025 (23:59 Danish time). Applications must be submitted as one PDF file containing
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from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 12 August
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and its installation process. The ability to work independently and collaborate effectively with peers. Experience with pip, virtual environments, and conda. Basic knowledge of Markdown
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to work independently, be able to use English as a working language. You are in the process of achieving a relevant higher education at bachelor level or similar. What we offer in return We offer you a
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find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 31 July 2025 (23:59 Danish
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for comprehensive assessment. You should be interested in technology development, and the interplay between investment, operation and optimization of technologies. Knowledge about economic principles and the
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laboratory support. Key Responsibilities: Maintenance and cleanliness of -80°C freezers Waste handling, autoclave Collaborating with other team members and technicians to ensure smooth operation of
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, forms, and quality-related documents Manage complaints, nonconformities, and change control processes to ensure timely resolution and compliance Prepare documentation for customer audits and external
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-house codes for wind turbine structural simulations and creation of digital twins of these structures. Creating advanced post-processing and data analysis pipelines for experimental and numerical data
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usage of datasets. The HPC department works in close collaboration with the Quantum Computing and Data Management Departments within DeiC ensuring consistency in our solutions for processing data