95 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at University of Southern Denmark
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senior scholars across Europe. This includes participation in six international training weeks, and international secondments with academic and non-academic partners. Requirements and programme structure
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. The successful candidate will be asked to apply to the PhD school, Faculty of Health Sciences, SDU for enrolment as PhD student. The PhD programme will be carried out in accordance with faculty regulations and the
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Chiara De Franco cdf@sam.sdu.dk or see the course description on the study programme website. Employment Employment is in accordance with the agreement between the Ministry of Finance and the National
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department organization, research, and teaching, please visit the department’s website . Requirements and programme structure As a PhD Student you will follow an individual PhD plan including course work
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researchers to attract funding for their best ideas from the EU Framework Programme for Research and Innovation – ideas that can make a decisive impact on society and contribute to better health for all
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Job Description Student Assistant – Electronic Nose Systems Are you a Mechatronics student with a passion for sensors, embedded systems, and intelligent technologies? Join us in developing cutting-edge electronic nose systems! We are looking for a motivated Bachelor’s or Master’s student in...
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levels. In this project, the PhD student will learn to understand and apply modern causal inference techniques such as target trial emulation, marginal structural models and G-computation to observational
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postgraduate (PhD) levels. Responsibility for program and curriculum development. The capacity to maintain and develop relationships with relevant stakeholders and to actively promote and participate in DIAS
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips