219 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" scholarships in Netherlands
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- Princess Máxima Center for Pediatric Oncology
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is
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description Are you motivated to discover the qubits that build the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to
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the interests of its scientists. As such, there are plenty of opportunities to learn new skills, expand your knowledge, collaborate across disciplines, and experiment in a friendly environment fully embodying
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, training and collaboration of PhDs and postdocs in the Netherlands as part of their career development as transdisciplinary microplastics researchers. Where to apply Website https://www.academictransfer.com
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the definitive proof-of-concept for the MagHeat technology. -- [[1]](#ftnref1) https://energy.ec.europa.eu/topics/energy-efficiency/heat-pumps_en Where to apply Website https://www.academictransfer.com/en/jobs
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cells survive treatment and cause the tumor to relapse. Furthermore, these therapies lead to long-term problems for children, including difficulties with memory, learning, and daily activities. Hence
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be supervised by dr. Teresa Bago d’Uva and at least one other member of the Department of Applied Economics. Where to apply Website https://www.academictransfer.com/en/jobs/358090/phd-position-health
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to apply Website https://www.academictransfer.com/en/jobs/358101/2-phd-positions-on-fine-scale-a… Requirements Additional Information Website for additional job details https://www.academictransfer.com
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an implementable structural glass window solution, conducting small experiments to determine glass-building properties and/or helping to acquire funding for larger experiments. You will work closely with colleagues
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Agreement for Dutch Research Institutes) An appointment at NIOZ as a PhD candidate means working and learning simultaneously conform the NIOZ PhD policy. 338 annualized holiday hours for a full-time 40-hour