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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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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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printing. Hands-on lab benchwork on cell biology, immunology, and animal tumor models is a plus. Generate, analyze, and evaluate data. Present results in an organized manner. Learn new techniques and
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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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), and in vivo fiber photometry (TDT). We are particularly looking for a PhD-level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and their causal link
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mentoring of graduate students. The required qualifications are: PhD degree in Civil Engineering, Materials Science, Chemical Engineering, or related field Extensive research experience related to concrete