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Doctoral student in materials chemistry with focus on electrolyte design for Mn-based flow batteries
capacity degradation. The work duties include: design electrolyte and additives to optimize electrochemical performance, enhance stability, and extend battery lifespan. perform electrochemical
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
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in synthetic cells through optimization of ion channels incorporation and activity in lipid bilayers. The project sits at the interface of biophysics, engineering and biochemistry. The PhD student will
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
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current research strengths in the department, candidates with demonstrated research focus on process optimization, supply chain, safety, and life cycle assessment are also sought and are encouraged to apply
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comprises lectures on the following modules: Mixed-Signal Integrated Circuits Design (45AH) Microelectronic Fabrication (45AH) VLSI Design/VLSI System Optimization and Emerging Trends (45AH) Hardware
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are strongly encouraged to apply. To complement current research strengths in the department, candidates with demonstrated research focus on process optimization, supply chain, safety, and life cycle
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current research strengths in the department, candidates with demonstrated research focus on process optimization, supply chain, safety, and life cycle assessment are also sought and are encouraged to apply
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optimize the synthetic genome that encodes for a biological function such as shape manipulation. Next to all this, the candidate will also do research on entropic segregation of synthetic genomes by testing
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factors engineering in health technology • Optimization of end-user acceptability in AI-enhanced systems Minimum Qualifications • Ph.D. or terminal degree in Nursing, Biomedical Informatics, Computer