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using state-of-the-art measurement systems such as LC-(HR)MS? This might be the next step for you! Pyrrolizidine alkaloids (PAs) are a large and structurally diverse class of plant-derived toxins, with
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in a large project rather than on your own in a single project. The following experience will strengthen your application: Experience in energy storage, organic synthesis, or materials characterization
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 17 days ago
? This PhD, working with Prof. Marcelle McManus , provides an opportunity to work to explore and advance novel decarbonisation solutions for high-energy use industrial sites. Your project will be co-created
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 17 days ago
for industry placements, site visits, international facility visits and biannual residentials. The Project The project is led by Prof. Mercedes Maroto-Valer in collaboration with industry partner, TÜV-SÜD, and
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is led by Prof. Priyamvada Jadaun who is the Chair Professor of Electrical Engineering and Computer Sciences at TU Berlin. Prof. Jadaun also holds a Visiting Scholarship at University of California
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embedded within the group of Dr. Fedor Miloserdov ( Homogeneous Catalysis and Biomimetic Synthesis - WUR ), located in the Laboratory of Organic Chemistry ( Organic Chemistry - WUR ), which is headed by Prof
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, febphdvacancies@rug.nl Prof. Machiel Mulder (for more information on this specific project), machiel.mulder@rug.nl (please do not use the email addresses above for applications)
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The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en/research-groups/CRITIX/ ) headed by Prof. Marcus Völp. The team focuses on critical information
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to interview already during the application period. The positions will be filled as soon as suitable candidates are identified. For additional information, contact Prof. Anton Zasedatelev, anton.zasedatelev
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links between home and flexible working patterns, mobility patterns and wellbeing. The project will take a multidisciplinary approach combining quantitative analysis of large-scale secondary datasets