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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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at the time of application; (b) have extensive experience in the field of natural language processing; (c) have good working knowledge of Python, Pytorch, Linux, Git, etc; (d) have a good command of
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experience in programming languages such as R, Python, and familiarity with NLP tools and techniques (essential) Proven track record in handling and analyzing large healthcare dataset (essential) Track record
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: Experience with one or more general-purpose programming languages, such as Python, and general-purpose deep learning frameworks. Experience with integrating multidisciplinary inputs. Demonstrated ability in
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the Regulations relating to the Act relating to Universities and University Colleges . It will be an advantage if you have Documented strong competence in programming, for example in Python. Strong analytical
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(e.g., Python/ MATLAB) and experience in conducting computational experiments. Personal qualities Ability to work both independently and collaboratively Strong ability to follow through on tasks and
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modeling, or formal language theory Excellent programming and data analysis skills (Python required; familiarity with PyTorch and Hugging Face strongly preferred) Strong communication and collaboration
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(preferably with Python). Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 25 days ago
on the development of optical models, image acquisition software, image processing algorithms, and deep learning algorithms using Zemax, Python, Matlab, LabVIEW, CUDA, and other programming environments. Training
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experience in statistical modelling, machine learning/deep learning, genomics and multimodal biological, and biobank data analysis. Proficiency in R, Python, Perl, and Linux environments. A track record of