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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
experimental method is GISAXS both ex-situ and in-situ during solvent vapor annealing. At RUCSAXS an advanced setup for such in-situ studies is available. The postdoc is expected to participate in
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at least one of the following areas: theoretical computer science (e.g., formal methods, design automation, algorithms) and reinforcement learning. The candidate should be open to practical
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at least one of the following areas: theoretical computer science (e.g., formal methods, design automation, algorithms) and reinforcement learning. The candidate should be open to practical
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, within the Institute of Clinical Medicine at Aarhus University. Researchers in the department use advanced epidemiological methods to study the prognosis of various populations. The department is engaged
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., Statistics, Mathematics, Physics) and a passion for problem solving You are highly experienced in a research environment with a well-established publication track record You have formal training in
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
interdisciplinary center for research and education in quantitative genetics and quantitative genomics (http://qgg.au.dk/en). QGG is an international organization with 100 employees and visiting researchers from
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advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal qualification, you must hold a PhD
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familiar with the field of protein O‑GlcNAcylation. Preferred qualifications: Preferably at least five years of research experience in a protein biochemistry lab having used common methods such as cloning
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human