220 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" Postdoctoral positions at Nature Careers
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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leverages the exceptional research infrastructure at St. Jude to train top-tier postdoctoral fellows with the necessary skills to lead independent research programs. Hematological malignancies are the most
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
; a top-ranked scientific environment; and superb benefits, mentoring, and professional development. Positions are available in diverse research areas, including epidemiology, genetics, computational
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actively contribute to the WeForming and EnerTEF projects. WeForming and EnerTEF propose developing automatized and intelligent solution for operating active distributed grids with multiple active asset6s
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environment empowering our people to fulfil their personal and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science 32 days’ paid annual leave
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· Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions · Gender-friendly environment with multiple actions to attract, develop and retain
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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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molecular and cellular biology, biochemistry, omics, bioinformatics, electrophysiology, behavior, and multiple microscopy techniques. The hired postdoctoral researcher will receive compensation based
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://twhiscock.github.io/). There are multiple projects available in the group, and considerable flexibility in project direction. Successful candidates will have the opportunity and mentorship available to develop
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field