[UAI] Two Postdocs: Machine Learning / Bioinformatics - London / California

From: Zoubin Ghahramani (Zoubin@gatsby.ucl.ac.uk)
Date: Fri Jun 21 2002 - 09:31:00 PDT

  • Next message: Elsaesser,Christopher: "[UAI] Lisp to Netica?"

                      ** Two Postdoctoral Fellowships **

                  ** Machine Learning and Bioinformatics **

    We are seeking two highly creative and motivated postdoctoral research
    fellows to participate in the following research area:

      Development of Bayesian network models and machine learning methods
      for protein fold recognition. This project is part of a collaborative
      effort to develop a community resource to enable the emerging
      science of structural genomics. Candidates should have a Ph.D. in
      computational biology, computer science, machine learning,
      theoretical physics, applied mathematics, or a similar quantitative
      field and a strong interest in molecular biology.

    The positions will be based in London (position 1) and Southern
    California (position 2), and are described below. The positions form
    part of a collaborative research project between KGI, UCL, UCSD and
    the Burnham Institute.

    Position 1
    ----------

      Gatsby Computational Neuroscience Unit
      University College London (UCL)

      http://www.gatsby.ucl.ac.uk/

    Working with Dr Zoubin Ghahramani on advanced inference and learning
    methods in Bayesian networks and other statistical machine learning
    methods with applicability to protein fold recognition.

    The Gatsby Unit at UCL is located in a quiet square in the heart of
    London, providing an ideal setting for research in computational
    neuroscience and machine learning in an exciting urban environment.

    Prospective candidates should apply with a cover letter, CV, and names
    and email addresses of 2-3 referees. This should be sent by email to:
    admin@gatsby.ucl.ac.uk, preferably using plain text, postscript or pdf
    formats only.

    Closing Date for applications: 31 July 2002. The position is available
    immediately and the duration of the appointment is 2 years with
    possibility of renewal.

    Position 2
    ----------

      Keck Graduate Institute in Applied Life Sciences (KGI)

      http://www.kgi.edu/home.html

    Working with Dr David Wild on the application of machine learning
    methods to protein fold recognition.

    KGI is located 35 miles east of Los Angeles, at the foot of the San
    Gabriel Mountains. Its campus is contiguous with those of the other
    Claremont Colleges, which together with surrounding educational
    institutions in Southern California provide a rich intellectual and
    cultural environment.

    Prospective candidates should apply with a cover letter and CV, and
    ask for at least two letters of recommendation to be sent to Dr. David
    Wild at: Keck Graduate Institute, 535 Watson Drive, Claremont, CA
    91711. Email: david_wild@kgi.edu.

    The position is open immediately and applications will be reviewed as
    they are received until the position is filled.



    This archive was generated by hypermail 2b29 : Fri Jun 21 2002 - 09:33:06 PDT