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are looking for a team player who is open to learn about the newest technologies in single-cell and spatial transcriptomics and flow cytometry. Key Responsibilities Collaborate with PhD students, postdoctoral
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mapping, magnetics, spectroscopy, probe, and interferometer/reflectometer systems) required for machine commissioning and first plasma characterization. Commissioning & Operations: Manage the commissioning
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access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees
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) , Lattice QCD , Machine Learning , Neutrino Astronomy , Neutrino physics , Nuclear and Many-Body Theory , Nuclear Theory (nucl-th) , Particle Astrophysics , Quantum Field Theory Appl Deadline: 2026/01/02 04
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-quality datasets with machine learning to help the public better identify birds. Public engagement and participatory science are key aspects of the library’s activities, with close collaboration with other
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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opportunity to contribute to leading-edge research at the intersection of applied machine learning and clinical dental practice. As a member of our team, you will help translate contemporary data science
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Laboratory at NYU Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. Please apply before February 1, 2026 for full consideration. Applications will
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math, biomedical engineering, physics, or related discipline. Proficiency in programming and data science tools (Python, R, C++, or equivalent). Strong statistical and machine learning background, with
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding