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diverse research community Preferred: Master's or Ph.D. in STEM or related discipline Python programming skills Demonstrated familiarity with AI/ML libraries such as PyTorch, TensorFlow, or similar tools
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diverse research community Preferred: Master's or Ph.D. in STEM or related discipline Python programming skills Demonstrated familiarity with AI/ML libraries such as PyTorch, TensorFlow, or similar tools
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licensure/certification? Required Computer Applications: Microsoft Excel, Microsoft Word, Microsoft PowerPoint Required Other Computer Applications: MATLAB and/or Python Required Additional Knowledge, Skills
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languages (e.g., R, SAS, Python). Working Conditions Office-based. Application Documents Resume (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
languages (e.g., Python, Julia, Matlab) Strong interest in process modeling and simulation, including novel methods and approaches such as neural networks and nonlinear optimization Ability to analyze complex
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agreement. The salary range for this position is $34.48 - $74.04 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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platforms (e.g., Azure, AWS, Databricks) and version-controlled collaborative development environments (e.g., GitHub). • Strong programming proficiency in Python; experience with ML frameworks such as PyTorch
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers
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research involving speech, voice, or motor control Experience managing a team of student researchers Technical aptitude in any of the following: MATLAB, Python, R, signal processing, or biomechanics Other
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and experience. Knowledge of scientific programming languages such as C/C++, Fortran, Python, R, etc. Working knowledge of software related to cluster computing and servers, such as Flex, Slurm, PBS