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learning methods development and application. The postdoc associates will be exposed to rich multi-omics data, a variety of diseases, advanced statistical and machine learning methods and wide collaborations
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Posted on Thu, 12/18/2025 - 12:54 Important Info Faculty Sponsor First name: Tamar Faculty Sponsor Last Name: Green Stanford Departments and Centers: Psychiatry, Child Psychiatry Postdoc Appointment
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specifically detailing your interest in glioblastoma and deep learning Two reference letters For more information:stein.aerts@kuleuven.be Where to apply Website https://jobs.vib.be/j/130090/postdoc-position-deep
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the start date Strong background in computational linguistics or deep learning Demonstrated interest in at least one of: language learning/acquisition, interpretability/mechanistic analysis, human-like
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 9 days ago
learning/deep learning frameworks (e.g. PyTorch); experience in single-cell analysis or machine learning is advantageous. If you fulfill all the requirements, you may be eligible for a salary grade of up
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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, Manisha Desai, Anna Grummon Stanford Departments and Centers: Pediatrics Postdoc Appointment Term: Initial appointment is 1 year with the expected renewal after the first year for an additional 1-4 years by
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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) signal processing, machine/deep-learning and computational linguistics. The team mobilizes them to produce methodologically sound research in response to some of the challenges posed by the nature and
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methods so that design decisions can be understood, validated, and trusted. As a postdoc, you will: Develop generative AI models (e.g., variational autoencoders, diffusion models, or reinforcement learning