41 assistant-professor-and-human-computer-interaction Postdoctoral positions at Nature Careers in Germany
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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Rosenbaum. Within the consortium, the junior research group of Robotic-assisted Discovery of Antiinfectives (https://www.leibniz-hki.de/en/robotic-assisted-discovery-of-antiinfectives.html ) focuses
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after damage. Methodologically, the project aims to develop novel organoid-on-a-chip models of kidney injury. The applied techniques will include mouse and human kidney organoids, tissue engineering
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opportunity to work in an interdisciplinary environment of research excellence. For more information, please visit www.mdc-berlin.de/poulet Are you interested in exploring how the body and brain interact? We
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computer science, bioinformatics or related fields Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV) Proficiency in Python, Linux and
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. The successful candidate will apply molecular, imaging, and electrophysiological methods to investigate the molecular mechanisms of somatic mechanotransduction. We use genetic mouse models and human cells to gain
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forefront of vaccine development? Our international and interdisciplinary research team invites applications for a Postdoctoral Fellow to help advance the search for an effective prophylactic hepatitis C
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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system
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for high-throughput drug screening with human sperm Characterizing the pharmacological action of small molecules on contraceptive targets in human sperm Performing state-of-the-art motility analysis of human
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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms