10 machine-learning-phd-in-denmark Postdoctoral positions at University of California, Merced
-
of novel field and lab experimental methods. Qualifications Basic qualifications PhD in soil science, ecology, earth and environmental sciences, and related fields. Additional qualifications Experience with
-
systems, machine learning, and control theory. Experimentally validating these methods through field experiments. In addition to conducting research, the Postdoctoral Scholar will collaborate closely with
-
opportunity to work in interdisciplinary team at the interface of experiment, big data, and statistical learning. Responsibilities of this position will include: Develop high-throughput assays and validate
-
in Agriculture • Machine learning models for pest and disease prediction • Crop classification using multispectral imagery • Digital twin models for farm simulation and management • Collaborate with
-
research in one or more of the following: Quantum vibrational dynamics and structure, multireference electronic structure, attosecond electron dynamics, and machine learning and pattern recognition
-
working on this and related projects. Qualifications Basic qualifications The applicant applying for the Postdoctoral Scholar must have a PhD degree in Mechanical Engineering. Excellent written and verbal
-
, machine/deep/federated learning, among other areas. The Postdoctoral Scholar will be tasked with conducting innovative research, delving into advanced storage devices like NVMe-SSD and Persistent/CXL Memory
-
qualifications Candidates should have training or experience with biomedical optics and intravital imaging. Experience with optical system design, circuit design, and computer programming will be particularly
-
excellent opportunity to work in the development of external relationships and to engage in industry-university partnerships at the cutting edge of engineering, computer and data science, technology, natural
-
involved in related research projects. Qualifications Basic qualifications A Doctoral degree (or equivalent) in computer science, computer engineering, electrical engineering, or a related field. Additional