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techniques to monitor protein-protein interactions and prior knowledge of these is an advantage. Your profile The applicant must have a relevant PhD in structural biology or protein biochemistry. Who we
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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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real or simulated industrial scenarios. Is Your profile described below? Are you our future colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field
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, 367–376 (2024). Mendes, M. L. & Dittmar, G. Targeted proteomics on its way to discovery. Proteomics 22, 2100330 (2022). Key Skills, Experience and Qualifications PhD in biochemistry, Biomedical Sciences
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consortium Your profile Required qualifications: PhD in neuroscience, stem cell biology, neurobiology, or a related field Strong experience with human iPSC culture and neural differentiation Solid background
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Science in Engineering, and around 800 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. At the Department of Biological and Chemical Engineering, focus is on
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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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, computational mechanics, computer science, applied mathematics or similar Strong experience with deep learning, e.g. PyTorch, JAX, TensorFlow, and probabilistic methods Familiarity with graph neural networks
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websites https://www.augusthuanglab.org/ and https://www.khoshkhoolab.com/ . Candidate qualifications include: PhD and/or MD in computational biology, bioinformatics, genomics, or other related fields
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy