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fixed for 2 years. Your work tasks and competencies The ideal candidate holds a PhD in robotics, mechatronics, control engineering, or a related field. They will have documented experience in autonomous
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design
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into this environment are invited to apply. Experience in quantum nanophotonics, quantum photonic devices, nanoscience, nanotechnology, and quantum dots is welcomed. Learn more about the project here: nikaakopian.org
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points) or a similar degree with an academic level equivalent to a two-year master's degree. Key Selection Criteria Hands-on experience in Synthetic Biology and Genetic Engineering is mandatory. Knowledge
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reproducibility and facilitate future research. Qualifications: A successful candidate will be able to demonstrate some, or all, of the following skills: Proven practical experience with electron-beam lithography
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motivated candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low
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related field Documented metagenomics experience Experience with writing and running data analysis scripts in a command-line interface Solid programming experience in Python Experience with scripting and
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experiments, and parametric investigations. The modelling component will be based, as much as possible, on semi-analytical thermo-mechanical formulations. This is to facilitate calculation accuracy, numerical
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for these types of experiments at the single cell level. Your primary tasks will be to: Design and conduct experiments to generate high-quality datasets Analyze and interpret complex datasets related to gene