Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
of a teaching portfolio or other evidence of teaching effectiveness may also be submitted for review. The recommendation letters should be submitted electronically through MathJobs (www.mathjobs.org
-
August 16, 2024. The area of specialization is open, but special attention will be given to applicants whose research interests overlap with current faculty. The teaching assignment is 4 courses per year
-
. For the application on MathJobs, please submit (a) an AMS cover sheet; (b) a cover letter; (c) a complete vita; (d) a teaching statement specifically addressing your teaching style, classroom techniques, and assessment
-
, curriculum vitae, at least two letters of recommendation, and a teaching statement. All application materials should be submitted electronically through Mathjobs (https://www.mathjobs.org/jobs ). Questions
-
is filled. Please submit the following items online at MATHJOBS, https://www.mathjobs.org/jobs/list/24223 to complete your application: • Cover Letter • Curriculum Vitae • Research Statement • Teaching
-
(USCJobs) at https://uscjobs.sc.edu/postings/158628 as well as via MathJobs. A completed application will include a cover letter, curriculum vitae, description of research plans, and statement of teaching
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Posting Information Posting Information Department Mathematics - 318900 Posting Open Date 11/10/2023 Application Deadline Open Until Filled Yes Position Type Permanent Faculty Working Title Teaching
-
quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests
-
of teaching philosophy. In addition, four letters of recommendation should be made available through MathJobs. One of the letters should appraise the candidate’s teaching ability. Positions are advertised for a
-
the rank of Assistant Professor. The successful candidate will teach in our innovative Mathematical Sciences Learning Laboratory (MSLL). MSLL employs active learning and other evidence-based teaching