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circuit design, including experience with amplifiers, data converters, and bias circuits. Experience with industry-standard EDA tools such as Cadence Virtuoso, Spectre, or Mentor Graphics. Understanding
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) Programming experience (e.g., Python, Julia) Strong analytical thinking and problem-solving abilities Interest in power and energy systems Excellent English communication skills and a collaborative mindset to
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design to develop new high-potential organic flow battery electrolytes with unprecedented stability. The computational work will be done in close collaboration with an experimental counterpart
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bring a strong background in cell culture and molecular biology techniques such as qPCR, ELISA, and RNA isolation. If you have experience working with primary cell cultures or rodent models, that’s a
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aspiring researcher with a M.Sc. within chemistry, biochemistry, materials science, biomedical engineering, or similar. Prior experience with mammalian cell/tissue culture will be considerable advantage
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
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understanding of combustion and engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a
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top-ranked master thesis and/or through experience with conducting research The following soft skills are also important: Curiosity and interest within the interrelationship between urban design and
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to circularity and sustainability in the footwear industry. Through advanced experimental work and modeling, you will help uncover how the composition of shoes will affect the circularity potential, and advice
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of the Marie Skłodowska-Curie Doctoral Network SCARPA, a European training network committed to circularity and sustainability in the footwear industry. Through advanced experimental work and modeling