158 programming-"the"-"DAAD"-"IMPRS-ML"-"Humboldt-Stiftung-Foundation" PhD positions in United States
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Field
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responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and completing documentation of experimental data in a timely fashion. Assists with monitoring inventory
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programming skills in Python and/or C++ Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments Hands-on experience applying deep learning
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an independent research program in the exciting field of nuclear astrophysics. Candidates with expertise in any of the aforementioned areas are strongly encouraged to apply. Qualified candidates may be considered
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support research activities under the direction of the principal investigator (Sara St George PhD). Dr. St George’s program of research is focused on promoting health, preventing chronic disease, and
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cancer biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan
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Professor position in the area of metal Additive Manufacturing (AM). The successful candidate will develop a research program in metal AM with a particular focus on powder-based techniques such as laser
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settings, with 5+ years of experience building impactful deep learning systems A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR Strong programming skills in Python and/or C
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to claim: -an unmatched faculty. -degree and open enrollment programs offered on three continents. -a global body of nearly 56,000 accomplished alumni. -strong and growing corporate relationships
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cancer biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan
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hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience