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As a formal qualification, you must hold a PhD degree (or equivalent). Moreover, having experience in the following will be beneficial: "Expression of disulfide-containing proteins and peptides in
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conducting in vitro biosafety experiments: cell viability, hemocompatibility, complement activation Performing in vivo biodistribution and clearance studies in mice Monitoring biochemical markers and
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University, you will get to validate your modelling results against experiments. You will also get to supervise a PhD-student hired on a similar topic. Your techniques will be published in the open source
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an inclusive and collaborative work environment. Qualifications Extensive experience in stellar modeling (MESA & GYRE) Experience in magneto-asteroseismology is highly desirable. Strong analytical skills and a
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and qualifications The successful candidates must have a PhD in physics, chemistry, chemical engineering, materials science or related areas as well as experience in the general area of catalysis
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equivalent), preferably within civil and environmental engineering, statistics, industrial ecology or data science with a passion for sustainability. We welcome candidates with postdoctoral experience
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or related field. Expertise in graph machine learning and demonstrated experience in multi-omics data integration. Strong programming skills in Python and its scientific and graph ML libraries (numpy, pandas
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. The applicants must demonstrate practical experience with heat transfer simulations and materials testing. (Please shortly describe concrete examples of your own relevant previous work involving these topics
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revolve around the development of an experiment focusing on nano-scale quantum sensing applying the unique properties of nitrogen-vacancy colour centers in diamond. With this experiment, we aim at detecting
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to have experience with: Phase equilibrium calculation algorithms and their integration into CO2 capture simulation Thermodynamic modeling of phase equilibrium and thermophysical properties related to CO2