62 cyber-physical-system-data-mining PhD positions at Technical University of Denmark
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qualifications we are looking for: Excellent knowledge and practical experience on current molecular microbiology methods Experience with genomic and transcriptomics data analysis is beneficial. Experience with
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information This is a full time position at the DTU Campus in Lyngby, Denmark. Further information may be obtained from CSO Dina Petranovic Nielsen, dpet@biosustain.dtu.dk You can read more about DTU Biosustain
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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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equivalent to a two-year master's degree. The degree could be in aquatic science, biology, physics, math, engineering, or similar. The candidate is expected to demonstrate proficiency in written and spoken
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includes the detailed elucidation of atomic and electronic structures, and physical properties. The group is in possession of state-of-the-art diffraction instrumentation and single-crystal electron and X
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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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, Henrik Madsen, Dynamical Systems, DTU Compute. Responsibilities and qualifications In your PhD project entitled “Flexibility characterization and its use for grid and balancing services” you will use data
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or Komagataella phaffii , FACS-based screens, next-generation sequencing, and handling of large datasets with e.g. Python or other high-level, general-purpose programming languages is beneficial. Excellent
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of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further
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Job Description The aim of this PhD project is to investigate the immediate and long-term deformation behaviour of plain and fiber-reinforced concrete using distributed fibre-optical sensing (FOS