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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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Department of Language Science and Technology Part-time Postdoctoral Fellow (Ref. 260226003) [Appointment period: twelve months] Duties The appointee will assist the project leader in the research
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research strategic development and securing funding Support research data management and documentation Job Requirements: PhD degree in Mechanical/Electrical Engineering or related field At least 1 years of
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Department of Industrial and Systems Engineering Postdoctoral Fellow (four posts) (Ref. 260107003) [Appointment period: each for twelve months] Duties The appointees will assist the project leader
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We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration in a connected context, investigating how accelerators can be designed, integrated, and scaled for...
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, water use, and carbon emissions. You'll work side by side with talented scientists and engineers from national laboratories, universities, and industry, all collaborating to rethink how critical materials
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 17 hours ago
for predictive model validation, and developing AI, statistical, or mechanistic models to translate nonclinical data (such as chemical structures, sequences, and in vitro functional assays for specific drugs
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collaborations with academic, industry, and international partners. The successful candidate will play a key role in shaping the ACRC’s research agenda, particularly in areas intersecting games, technology, design
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for detection of steroid hormones at ultra-low detection limits using biophysical methods. The role is intentionally structured as a 50:50 appointment between the Faculty of Information Technology (Data Science