795 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Nature Careers
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. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Schlatt
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electronic information industry, this division focuses on typical application scenarios in the era of big data, such as high-density information sensing, communication, computation, and storage. In response
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combining LLMs, molecular measurements, and multi-scale imaging. Your profile PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis
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limited to: Medical Imaging and Informatics (i.e., MR, CT, PET, Radiotherapy), Intelligent Medicine (using Artificial Intelligence, and Big Data), and Smart Biomedical Instruments (i.e., Wearable Device
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research experience, at a minimum Proven success in securing external funding and developing an independent research programme. Demonstrated experience in mentoring at PhD or postdoctoral level Strong record
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memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Career support: A Post-doc to PI programme and other career development activities
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be enrolled on the Doctoral Programme in Pharmacy at the University of Vienna. Recipients will be employed as university assistants predoctoral at the Department of Pharmaceutical Sciences. At the time
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studies. Required skills: Experience in managing multidisciplinary teams in an international and intercultural environment, including technical and scientific staff PhD in Computer Science or a related
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Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in
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of new statistical methods). Areas of disciplinary research application include biostatistical methods, clinical trials, population health, statistical genetics, bioinformatics, statistical computing