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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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involved in or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work
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growers and also include monitoring Drosophila, categorizing grape cluster architecture and damage, monitoring weather variation between sites, and estimating economic costs and benefits. Research
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targets specifically amyloidogenic proteins implicated in the diseases like Alzheimer’s and Parkinson’s. Required qualifications A PhD. In the area of synthetic/ medicinal chemistry is rquired. Experience
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: Monday – Friday, 8 a.m. – 5 p.m. Summary The postdoctoral associate will focus on data collection and management of clinical projects on aortic disease research. The ideal candidate must have an MD or PhD
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: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
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, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write
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/events within cyberspace and cyber-physical systems, presenting both opportunities and challenges. Currently, these software architectures do not take advantage of emerging Geospatial-AI (Geo-AI
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must have an MD, PhD or MD/PhD degree, and experience in clinical research. This position also the opportunity to contribute to cutting-edge research in advanced endovascular aortic research within a
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. Applicants must have submitted their PhD thesis to the PhD evaluation committee when sending the application. Appointment is conditional on having successfully defended the PhD thesis. The candidate´s PhD