29 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Pennsylvania State University
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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also
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. Experience in machine learning methods is also required. Additionally, it is critical that the individual has experience in working with epilepsy patients, data collection via the NeuraLynx iEEG system, data
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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
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medicine program is a collaborative research effort that offers many opportunities for scientific interactions and advancement. Duties include (but are not limited to): Designing and executing experiments
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to investigate iconicity in spoken language – the idea that the sound of a word may convey its meaning – in both neurotypical people and people with aphasia. The successful candidate will have a PhD in a relevant
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calculations Materials modeling/electronic structure calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed
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learning preferred. Strong experimental and computational skills, with ability to work independently and contribute to collaborative research and publications. BACKGROUND CHECKS/CLEARANCES Employment with
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reporting. Candidates must have a PhD in MatSE and experience in mechanics of materials, computational modeling, and experimental characterization of materials. Candidates should submit a CV and cover letter
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satisfactory performance. Degree/Field of Study: PhD in fluid dynamics, geomechanics, computational geomechanics by start date with Penn State. Applications must be submitted electronically and include a CV
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anatomical and functional investigation of the cerebrovasculature is highly desirable. However, candidates with other experimental and/or data skills are welcome to apply. Experience in computer programming