40 machine-learning-phd-in-netherland Postdoctoral positions at Pennsylvania State University
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Experience A PhD in Physics, Astronomy, Computer Science, or a closely related field is required. Experience with HPC systems, jax, python, or similar programming languages, machine learning, and transient/AGN
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Professor John Harlim and his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project
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clinicians Qualifications and Requirements: A PhD in Mechanical, Electrical, Biomedical Engineering, or related fields by the start date Prior experience in neural signal processing, machine learning, control
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SPECIFICS Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences at the Penn State College of Medicine in Hershey, Pa is seeking postdoc
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, translational assays, and molecular techniques, and offers the opportunity to collaborate with and learn from leading experts in leukemia and sphingolipid field. Key Responsibilities: Test therapeutic efficacy in
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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graduate students and research trainees as appropriate. Qualifications PhD, MD, or MD/PhD in cardiovascular biology, physiology, molecular biology, or a related field. Experience in patch-clamp
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. Qualifications PhD, MD, or MD/PhD in genetics, stem cell biology, molecular biology, biomedical engineering, or related discipline. Experience in iPSC culture and differentiation. Experience with genome editing
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in pavement engineering, with an emphasis on advanced sensing technologies and machine learning modeling. The successful candidate will contribute immediately to cutting-edge research projects
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop