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high consistency of quality, (3) use the knowledge gained to understand the opportunities and limitations of the process when extended to a wide range of wire and powder materials. The PhD studentship is
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Award (IDLA). This research aims to investigate natural source zone depletion (NSZD) processes that can naturally remedy oil pollution and use this improved process understanding to enhance CoronaScreen
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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We are looking for a highly motivated candidate with strong interest in catalysis and hydrogen economy to take up this exciting PhD project. You will collaborate with other postdoctoral researchers
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. This project will rely on recent advances in neural networks to develop machine learning potentials (MLPs) for MD simulations of realistic nanomaterial/coolant-liquids and use these to gain fundamental insights
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Award (IDLA). This research aims to investigate natural source zone depletion (NSZD) processes that can naturally remedy oil pollution and use this improved process understanding to enhance CoronaScreen
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their skills to pursue functional studies of new obesity genes (especially related to endocytosis and cell signalling). We use GWAS and genetic approaches to identify novel genes responsible for obesity and
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matrix mechanics, particularly in chemoresistance. Notably, the biological aspects of chemoresistance and drug efficacy screening will be the responsibility of the lab’s postdoctoral researcher, who will
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migration corridors – Portugal-Brazil, Netherlands-Turkey, and UK-India. The team consists of the Principal Investigator (PI), Dr. Dora Sampaio, two PhD candidates, and one postdoctoral researcher. The team
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motivated postdoctoral researcher to join our team working on a cutting-edge cyclic peptide mRNA display platform under the supervision of Professor Akane Kawamura (https://kawamuraresearchgroup.com ). You