245 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions at Nature Careers
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the time of appointment. Applicants must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of appointment. Strong communication skills, a solid publication record, and a
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
, PharmD, DVM, or equivalent degree in a relevant field at the time of appointment. Applicants must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of appointment. Strong
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
of PhD conferral). Applicants must hold a PhD, MD, DO, PharmD, DVM, or equivalent degree in a relevant field at the time of appointment. Applicants must be U.S. Citizens, U.S. Noncitizen Nationals
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must be U.S. Citizens, U.S. Noncitizen Nationals, or Permanent Residents at the time of appointment. Strong communication skills, a solid publication record, and a demonstrated commitment to research
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. The successful candidate will be employed at the Department of Computer Science of the University of Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and
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. Antonio Scialdone’s group at Helmholtz Munich, a leading European hub for AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models
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from different fields: AI (machine learning, big database, etc) Semiconductors
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with a leading external pharma company party, are seeking a
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
to antibiotics and host-like conditions. • Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets. • Work closely with wet-lab scientists to design perturbation
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qualifications include: Ph.D. in Computer Science, Computer Engineering, Electrical Engineering or a related field; Strong background in Deep Learning (e.g., Transformers, foundation models); Strong programming