31 machine-learning-phd-in-denmark Postdoctoral positions at Pennsylvania State University
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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presentation at conferences and manuscript preparation Specific criteria include: Recent MD or PhD (0 - 3 years) in a relevant biological science or bioengineering discipline Strong critical thinking skills
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, Astronomy, or a closely related field is required. Experience with HPC systems, machine learning, and GRB monitor data analysis would be an advantage. Additional Information Applications must be submitted
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calculations Materials modeling/electronic structure calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed
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enthusiastic and ambitious to learn. Expected proficiency in atleast 4-5 of these techniques: Hematopoietic cell flow cytometry immune-phenotype characterization Transduction or primary leukemia and
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the brain. We are particularly looking for a PhD level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and its causal link with specific neural circuits
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, Robotics, Computer Vision, or related disciplines. Proven expertise and hands-on experience in one or more of the following areas: large language models (LLMs), end-to-end learning, AV localization
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., miniscope neural recording, connectivity tracing) to examine circuit specific function in the brain. We are particularly looking for PhD level scientist with expertise in vascular biology. Expertise in
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, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine learning) or a directly related field at the time of appointment is required. The successful applicant
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End Date: June 30, 2025 Expected Start Date: August 1, 2025 preferred but negotiable. Eligibility: PhD prepared Nurses (or related field) within two years of degree completion preferred. Demonstrated