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and project. Macroscope (https://www.nwo.nl/en/projects/qnbfq52894 ) is a national research infrastructure funded by the Dutch Science Foundation (NWO) to study complex societal dynamics
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spectrum of artificial intelligence in its various interfaces), the failure of liberal democracies, and the constitution of contemporary subjectivities exiled from themselves. Mandatory requirements - PhD in
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. The project will also focus on the combined treatment of phosphogypsum and brines, studying the synergistic and symbiotic effects arising from their interaction within integrated bioprocesses. This work will
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for publication and present findings at international conferences Contribute actively to other projects within the research group Requirements PhD in statistics, epidemiology, or a related discipline Experience in
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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the course of the ongoing AI revolution. Your job Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human
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are studying for a Masters or a PhD and possibly have an agreed role in supporting these students in their day-to-day research in conjunction with an academic supervisor. To carry out administrative work
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of biological and statistical physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and control theory
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collaboratively within a team. Applicants must have a PhD, or equivalent advanced or terminal degree from a recognized institution of higher learning, in materials science and engineering, chemical engineering, or
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monitoring, structural and functional magnetic resonance imaging, transcranial magnetic stimulation, and genomic assays. Duties involve research study design, participant recruitment, data collection, data