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background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
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unpublished works). A publication list (if applicable). Include a brief description of your contributions if you have publications with multiple authors. A manuscript (article) derived from your master’s thesis
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reflections on the normative dimensions of the role of researchers engaged in innovation processes. RESINNREG candidates will learn how to act as change agents in processes of regional development through
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. Please visit the Life in Finland section on our website to learn more. Please note that you must include the following appendices in your application CV (Template for CV, TENK web page ) a list of
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program development, partnerships between educational institutions and other stakeholders, and the impact of higher VET on career pathways and lifelong learning. Required selection criteria You must have a
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knowledge of the English language high problem-solving ability, motivation/interest in scientific research, willingness to learn and work in a group applications showing previous experience with numerical
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of the scholarship) on top of the current full-time rate for a Monash RTP stipend. Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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the molecular level. While structural predictions using deep learning methods like AlphaFold have revolutionized our understanding of sequence dependent molecular structure, we currently have much more limited
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the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year master’s degree with a learning outcome