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drilling data, digital‑twin methodologies, and AI‑driven optimization approaches to address fundamental challenges in hard‑rock drilling. As a PhD candidate, you will benefit from close supervision, access
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Senior Researcher in interactions between fisheries, anthropogenic pressures, and endangered, thr...
and international conferences and expert meetings. Lead and contribute to the preparation of national and international grant proposals. Contribute to teaching and supervision of PhD, Bachelor and
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into microscopy image analysis and analytical data analysis workflows, together with other team members Building new foundation models for microscopy image analysis Implementing AI-based microscopy image analysis
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; coordination within UNLOCK: Aligning projects with other UNLOCK platforms, including FAIR Data and Biodiscovery, and co-developing analytical plans together with dedicated analytical staff; project execution and
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applications in clinical practice. You will need to have a PhD with evidence of research excellence in a relevant discipline including: Mathematics, Engineering, Physics, Computer Science, Data Science
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) Positions PhD Positions Application Deadline 22 Apr 2026 - 16:00 (Europe/Dublin) Country Ireland Type of Contract Other Type of Contract Extra Information N/A 4-year PhD scholarship Job Status Full-time Hours
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. Where to apply Website https://academicpositions.com/ad/university-of-antwerp/2026/phd-position-spatia… Requirements Research FieldBiological sciencesYears of Research Experience1 - 4 Research
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ssantagata@bwh.harvard.edu Salary Range Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum
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. The candidate must be enrolled in the PhD program no later than three months after employment. More information on PhD education: https://www.hvl.no/forsking/forskarutdanning How to apply: Submit your application
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powerful high-throughput platform to generate the high-quality experimental data needed for advanced thermodynamic modeling. This PhD project aims to bridge the gap between experimental data high throughput