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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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have or be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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: Have earned/expect to earn a PhD in a relevant field (such as Pharmaceutical Sciences, Textile Engineering, Chemical Engineering) Strong skills in formulation sciences/clinical pharmaceutics, project
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range from cell biological over biochemical to molecular biology and bioinformatics approaches. Collaborations with structural biologists are possible. Your profile Applicants should hold a PhD in
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for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
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(Dept. of Clinical Medicine, Aarhus University). Your profile Applicants should hold a PhD in experimental life science, preferably within antibodies (engineering and cellular impact). Experience with
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types