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population centers. As a PhD student, you will: Operate and characterize state-of-the-art mass spectrometers (PTR and NH4+-CIMS; VOCUS) to measure urban VOCs and their oxidation products Participate in
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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funded by the Marie Skłodowska-Curie European training Network "SPACER". It will be carried out by one doctoral candidate at Fraunhofer ICT, (PhD supervision at University of Bayreuth in Germany) over a
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The advertized subproject is fully funded by the Marie Skłodowska-Curie European Training Network “SPACER“. It will be carried out by one doctoral candidate at Fraunhofer ICT, (PhD supervision
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can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried out within the DFG Priority Programme “DaMic - Data-driven Alloy and
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sensing Technology » Pharmaceutical technology Technology » Nanotechnology Technology » Medical technology Medical sciences » Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD
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Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
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Program for Collaborative Doctoral Projects, please visit: https://go.fzj.de/Collaborative-Doctoral-Projects . We are offering a Collaborative Doctoral Project (PhD Position) – Computationally-Enabled
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1