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The UCLA Department of Computational Medicine is looking to hire new faculty. Please pass this advertisement to anyone who may be interested.
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Candidates should hold a Ph.D., M.D., or equivalent by the date of appointment and provide the potential for scholarly impact through publications, excellence in teaching, and strong oral and written communication skills. We welcome candidates whose experience in teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. Faculty appointment level and salary will be commensurate with the candidate’s experience and qualifications.
Applicants should submit a cover letter, curriculum vitae, list of three references, research statement, teaching statement, and statement of contributions to equity and diversity inclusion to Bogdan Pasaniuc, Chair of the Computational Medicine Faculty Search Committee.
Many of the on-campus interviews will occur during January 21-22 and February 18-19, 2024.
Questions about the search should be directed towards Bogdan Pasaniuc (pasaniuc@ucla.edu) Chair of the Search Committee or Eleazar Eskin (eeskin@cs.ucla.edu) Chair of the Department of Computational Medicine.
Apply at:
http://recruit.apo.ucla.edu/JPF04995
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see UC Nondiscrimination & Affirmative Action Policy.
http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
旗舰加速器官网
The 2024 UCLA Computational Genomics Summer Institute.CGSI brings together mathematical and computational scientists, sequencing technology developers in both industry and academia, and the biologists who use the instruments for particular research applications. Research talks, workshops, journal clubs, and social events provide a unique opportunity to foster interactions between these three communities over an extended period of time and advance the mathematical foundations of this exciting field. DATES SHORT PROGRAM #1: July 15 – 19, 2024 SHORT PROGRAM #2: July 29 – August 2, 2024 LONG PROGRAM: July 10 – August 2, 2024 @ UCLA Campus, Los Angeles Visit our website to learn more: CGSI 2024 Check out the schedule from last year: CGSI 2018 The application is open now! Apply now for this upcoming summer’s Short and Long Courses: STEP #1 APPLY STEP #2 SEND YOUR CV to uclacgsi@gmail.com The regular registration deadline to apply for the 2024 programs is March 1st, 2024. |
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旗舰加速器官网
旗舰加速器官网
Rolling admissions are starting March 15th.
Registration Fee:
$550 apply by April 1st
$650 apply by April 15th
$750 apply after April 15th
Subsidized housing for CGSI is guaranteed for anyone who applied by April 15th. Housing for applicants who apply after April 15th will be given on a first come first serve basis subject to availability.
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The long program has been a huge success last year and many people were not able to be admitted as they did not apply on time – make sure that this year you are not left behind!
There are also still available spaces in the 2018 CGSI Short Course.
Register now to get the lower rate and subsidized housing.
DATES
SHORT PROGRAM #1: July 16 – 20, 2018
SHORT PROGRAM #2: July 30 – August 3, 2018
LONG PROGRAM: July 11 – August 3, 2018
@ UCLA Campus, Los Angeles
Visit our website to learn more.
The application is open!
Apply now for this upcoming summer’s Short and Long Courses:
STEP #1 APPLY
STEP #2 SEND YOUR CV
Watch the best talks in 2018 CGWI
Our first offering of the Computational Genomics Winter Institute was a success. In our feedback survey, we asked the participants to pick three talks they wanted to highlight on our website. We would first like to emphasize that the feedback we got was that all the talks in CGWI were excellent. But we are happy to announce that the ones that received the most votes are the talks of Brian Browning, Casey Greene, Su-In Lee, and John Novembre. We now have links to these videos highlighted on the front page of CGWI for easy access, and links to all of the talks are also available at the CGSI website.
Su-In Lee: “Interpretable Machine Learning for Precision Medicine.”
Casey Greene: “Deep learning: privacy preserving data sharing along with some hints and tips.”
John Novembre: “Computational tools for understanding geographic structure in genetic variation data.”
The 2018 CGSI Organizers
CGSI Co-organizers:
Fereydoun Hormozdiari, UC Davis
David Koslicki, Oregon State University
Kirk Lohmueller, UCLA
Ran Blekhman, University of Minnesota
CGSI Program Co-directors:
Eleazar Eskin, UCLA
Eran Halperin, UCLA
Dima Shlyakhtenko, UCLA IPAM
CGSI Steering Committee
Eleazar Eskin, UCLA
Eran Halperin, UCLA
John Novembre, University of Chicago
Ben Raphael, Princeton University