Academic Appointments Clause Samples
Academic Appointments. 5.1.1 Initial Faculty Appointments There shall be four (4) types of initial faculty appointments:
a. Tenure-earning appointments are subject to the University tenure policy in Section 5.5. Faculty with these appointments have a probationary status.
b. Term appointments shall normally be made for two (2) or three (3) years subject to satisfactory evaluation. Term appointments for less than two (2) years may be made for such reasons as late resignation, illness of regular faculty, enrollment requirements, program demands, or replacements for leaves of absence and sabbatical leaves. If appointed as the result of a national search, persons employed on Term appointments shall be given first consideration for newly authorized Term appointments, provided they meet the qualifications specified for the position and have had satisfactory annual evaluations. For newly authorized Term appointments for less than two (2) years, contingent faculty will be given serious consideration after current Term faculty, provided they meet the qualifications specified for the position and have had satisfactory annual evaluations. Persons on two (2) year Term or on three (3) year Term appointments who already hold the appropriate terminal degree shall be given serious consideration for new tenure-earning positions, provided they meet the qualifications specified for the position and have had satisfactory annual evaluations.
c. Tenured appointments.
Academic Appointments. 5.1.1 Initial Faculty Appointments There shall be four (4) types of initial faculty appointments:
a. Tenure-earning appointments are subject to the University tenure policy in Section 5.5. Faculty with these appointments have a probationary status.
b. Term appointments shall normally be made for two (2) or three (3) years subject to satisfactory evaluation. Term appointments for less than two (2) years may be made for such reasons as late resignation, illness of regular faculty, enrollment requirements, program demands, or replacements for leaves of absence and sabbatical leaves. If appointed as the result of a national search, persons employed on Term appointments shall be given first consideration for newly authorized Term appointments, provided they meet the qualifications specified for the position and have had satisfactory annual evaluations. For newly authorized Term appointments for less than two
Academic Appointments. All appointments shall be either on a tenure or a non-tenure track.
Academic Appointments. 5.1.1 Initial Faculty Appointments There shall be four (4) types of initial faculty appointments:
a. Tenure Earning appointments are subject to the University tenure policy in Section 5.6. Faculty with these appointments have a probationary status.
b. Term appointments shall normally be made for two (2) or three (3) years subject to satisfactory evaluation. Term appointments for less than two (2) years may be made for such reasons as late resignation, illness of regular faculty, enrollment requirements, program demands, or replacements for leaves of absence and sabbatical leaves. If appointed as the result of a national search, persons employed on Term appointments shall be given first consideration for newly authorized Term appointments, provided they meet the qualifications specified for the position and have had satisfactory annual evaluations. Persons on two (2) year Term or on three (3) year Term appointments who already hold the appropriate terminal degree shall be given serious consideration for new Tenure Earning positions, provided they meet the qualifications specified for the position and have had satisfactory annual evaluations.
c. Tenured appointments.
Academic Appointments. SH Curriculum Supervisors – Base $2,450, $260 per member, $520 multiple buildings, $260 per dept English Math Social Studies Science PE/Health Foreign Lang (Jr and Sr High) Music (Jr and Sr High) Art (Jr and Sr High) Half Base ($1,225) Technical Division Notes:
Academic Appointments. ▇▇. ▇▇▇▇▇ ▇▇▇ is a Professor at Faculty of Business (FOB), CityU Macau. Prior to this he was an Associate Professor at School of Mathematics and Physics, Xi’an Jiaotong Liverpool University (XJTLU), where he had served as the Director of MSc in Financial and Mathematics for over six years. ▪ Professor, FOB, CityU Macau, 2024-present ▪ Associate Professor, School of Mathematics and Physics, XJTLU, 2017-2023 ▪ Assistant Professor, Department of Finance, SUSTech Business School, 2013-2017 ▪ ▇▇▇▇, C., ▇▇▇, ▇., & ▇▇▇▇, ▇. (2024). A Survey of Systemic Risk in Banking Industry, Journal of Electronic Finance, 13(1), 103-120. ▪ ▇▇▇, ▇. ▇▇▇, ▇., ▇▇, ▇., & ▇▇, S. (2023). Nonparametric Bayesian modeling on infinite mixture Student t copulas, Communications in Statistics - Simulation and Computation, 1-19, DOI: 10.1080/03610918.2023.2263184. ▪ ▇▇▇, ▇., ▇▇▇, ▇., & ▇▇▇▇▇▇▇, D. (2023). Mixture copulas with discrete margins and their application to imbalanced data. J. Korean Stat. Soc. 52(4), 878-900. ▪ ▇▇▇, ▇. ▇▇▇, D., & ▇▇, ▇. (2023). Implications of imbalanced datasets for empirical ROC- AUC estimation in binary classification tasks, Journal of Statistical Computation and Simulation, 1-21, DOI: 10.1080/00949655.2023.2238235. ▪ ▇▇▇, Y., ▇▇▇, ▇., & ▇▇, S. (2023). Bayesian Mixture Copula Estimation and Selection with Applications, Analytics 2 (2), 530-545. ▪ ▇▇▇, ▇., ▇▇▇, ▇., & ▇▇▇, ▇. (2023). How does investor sentiment impact stock volatility? New evidence from Shanghai A-shares market. China Finance Review International, 13 (1), 102-120. ▪ ▇▇▇, ▇., ▇▇▇▇▇▇▇, ▇., & ▇▇, X. (2022). Optimal exercise frontier of Bermudan options by simulation methods. International Journal of Financial Engineering, 9 (3), DOI: 10.1142/S242478632250013X. ▪ ▇▇▇▇▇, ▇., ▇▇▇, ▇., ▇▇▇, D., ▇▇, ▇., & ▇▇▇▇▇▇▇▇▇▇▇▇, N. (2022). Test of equality of proportional hazard models with jointly censored data, International Journal of Data Science 7 (1), 1-21. ▪ ▇▇▇, ▇., ▇▇▇▇, ▇., ▇▇▇▇, ▇., ▇▇▇▇, ▇., & ▇▇, X. (2022) Customer satisfaction analysis in bike sharing. International Journal of Green Economics, 16 (1), 36-55. ▪ ▇▇▇▇, ▇. ▇▇▇, D., ▇▇▇▇▇▇▇, ▇., & ▇▇▇, ▇. (2022). A VAR-based factor decomposition to the term structure of treasury bonds. International Journal of Monetary Economics and Finance, 15(6), 585-613. ▪ ▇▇▇, ▇., ▇▇▇, ▇., ▇▇▇, ▇., & ▇▇, ▇. (2021). An XVA approach to counterparty risk appraisal. Current Chinese Computer Science, 10.2174/2665997201999200909124001 ▪ ▇▇▇▇ ▇., ▇▇▇, D., ▇▇▇, ▇., ▇▇▇, ▇. & ...