196 phd-software-engineering-"https:"-"https:" Postdoctoral positions at Nature Careers
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning
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contribute to behavior and disease. The Ideal Candidate will have: A PhD in neuroscience or related discipline Prior experience in studying neural circuits Expertise with at least some of the following
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of Excellence for Leukemia Studies with access to cutting-edge technology and resources. The successful candidate will ideally have a PhD (or will obtain a PhD) with a focus on molecular biology, cancer
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research results to various communities and a wider public Academic self-administration For questions and further information, please contact Your profile PhD in Inclusive education, with a focus on at least
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the communication on the master programme in architecture Tutoring and evaluating master and PHD students Administrative tasks Your profile Master and Ph.D. degree in architecture or urbanism, or in
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will also explore public perceptions of tax havens, in collaboration with partners specialising in fiscal sociology. Your profile PhD in law A strong understanding of tax law A demonstrated interest in
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. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in Slavic studies in the field of West Slavic linguistics with
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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: A Blend of Academic Freedom and Industrial Efficiency : Access to shared resources and facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum