726 Genetics Phd jobs in San Jose,CA

M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university
Ph.D. – Advantage
A proven track record of at least 3 years hands-on experience in developing deep learning algorithms
Experience and knowledge in computer vision and image processing algorithms, including classification, object detection, and/or semantic segmentation
In-depth, hands-on knowledge of deep learning fundamentals
Hands-on experience with deep learning frameworks such as PyTorch
Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry
Proficiency in Python programming
Experience in conducting long-term development and/or research projects, in either academia or industry
Proficiency in English, both written and spoken
Eligible to work in the US

ARAMARK

Palo Alto, CA 94306

Johnson and Johnson

Santa Clara, CA 95050

A B.S. degree in a technical discipline (e.g. Computer Science, Computer Engineering, EE, ME, or equivalent) combined with 6 years of relevant post-academic experience
A M.S. degree in a technical discipline combined with 4 years of relevant post-academic experience
A PhD in a technical discipline combined with 0-2 years of relevant post-academic experience
A PhD in Robotics is highly desired
Proven experience working on robotics or other complex electromechanical systems is required
Strong programming skills in Matlab and/or Python and/or C++ is required
Demonstrable experience applying a data driven and scientific approach to R&D; engineering is required
The ability and willingness to be based in Santa Clara, California is required. Local candidates will be preferentially considered
Ability to travel up to 10%, domestic and international, is required