Sort by
Refine Your Search
-
-borne diseases modeling. The ideal candidate should have 1) a strong background in applied mathematical sciences, computer science, or any other quantitative field, 2) experience with population biology
-
: This position may require work beyond normal office hours and/or work on weekends Qualifications Required Education Appropriate PhD in a related field. Preferred Qualifications Prior experience in computational
-
on the application under CV/Resume or upon answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in Mechanical/Civil Engineering, Applied Mathematics, Theoretical Physics
-
: Appropriate PhD in related field Knowledge, Skills, and Abilities: Familiarity with appropriate laboratory and technical equipment; ability to effectively use a computer and applicable software to create data
-
undergraduate students. Qualifications PhD in theoretical physics. A well-qualified candidate for this position will also possess: Research in theoretical high energy physics. Salary: Compensation will be
-
summarizes results. Writes scientific papers and proposals for existing and new projects. Collaborates with PI and grad students working on similar projects. Qualifications PhD in Physics or Applied Physics. A
-
. Qualifications Required Education Ph.D. in Mechanical Engineering, Applied Mathematics, Theoretical Physics, or a closely related field Preferred Qualifications Demonstrated experience in theoretical and
-
. Write manuscripts, develop research goals, and mentor student. Qualifications: Appropriate PhD. Ability to stand for extended periods to perform laboratory duties. Ability to lift and move heavy objects
-
Measure Theory : Leveraging foundational mathematical frameworks to design robust modeling approaches. 2) Deep Learning : Exploring cutting-edge techniques such as multimodal data integration, diffusion
-
upon future funding. Qualifications Required Education and Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques