2 postdoc,Computational Biology, NYC# JobHunting - 待字闺中
l*n
1 楼
朋友说起她的朋友在招人。大家自己看，直接联系招聘的人好啦。这里只是中介下。大
家加油。
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Two postdoc positions are currently available-Computational Biology, New
York City
General guideline
Prospective candidates should have a recent PhD degree in computer science,
mathematics, bioinformatics/computational biology discipline and high
motivation to pursue independent research in computational biology.
Applicants are expected to have a solid background in programming and
computational techniques, with a working knowledge of molecular biology and
genetics being highly desirable.
Specific guideline
Position 1: Applicants who desired to focus on method developments and
software development:
Prospective candidates should have a recent PhD degree in computer science
specialized in machine learning, mathematics, statistics or physics. Strong
working experiences in Bayesian networks and other graphical models is
highly preferred. Candidate must have strong programming skills in C/C++/
Java, Matlab and R. Programming skills in other language is a plus. Basic
knowledge in biology and hands-on experience in computational biology is
highly desired but not required. The candidate will be responsible for
developing cutting-edge machine learning approaches based on graphical
models and other mathematical models, and is expected to develop software
platforms towards real-world human disease network modeling and drug target
prediction by working closely with disease modeling team.
Position 2: Applicants who desired to focus on real-world disease modeling:
Prospective candidates should have a recent PhD degree in computer science,
bioinformatics (computational biology) or biology science. Candidate must
have strong knowledge in biology, genomics, and hands-on experience in
computational biology projects involves analyzing and integrating omics data
. Candidate should have a good programming skills in C/Java, Matlab or R.
Programming skills in other language is a plus. Basic knowledge about
graphical models, machine learning approaches is required. Strong
understanding on Bayesian network is highly desired, but not required. The
candidate will be responsible for integrating and analyzing multi-scale
omics data and leverage cutting-edge method to reconstruct disease network
and drug targets validation by working closely with method development team
and laboratory collaborators.
Note:
Exceptional candidate have both strong machine learning background and
biology knowledge can be considered to work cross projects and fields.
Contact:
Please send CV and three reference letters to r*********[email protected]
家加油。
-----
Two postdoc positions are currently available-Computational Biology, New
York City
General guideline
Prospective candidates should have a recent PhD degree in computer science,
mathematics, bioinformatics/computational biology discipline and high
motivation to pursue independent research in computational biology.
Applicants are expected to have a solid background in programming and
computational techniques, with a working knowledge of molecular biology and
genetics being highly desirable.
Specific guideline
Position 1: Applicants who desired to focus on method developments and
software development:
Prospective candidates should have a recent PhD degree in computer science
specialized in machine learning, mathematics, statistics or physics. Strong
working experiences in Bayesian networks and other graphical models is
highly preferred. Candidate must have strong programming skills in C/C++/
Java, Matlab and R. Programming skills in other language is a plus. Basic
knowledge in biology and hands-on experience in computational biology is
highly desired but not required. The candidate will be responsible for
developing cutting-edge machine learning approaches based on graphical
models and other mathematical models, and is expected to develop software
platforms towards real-world human disease network modeling and drug target
prediction by working closely with disease modeling team.
Position 2: Applicants who desired to focus on real-world disease modeling:
Prospective candidates should have a recent PhD degree in computer science,
bioinformatics (computational biology) or biology science. Candidate must
have strong knowledge in biology, genomics, and hands-on experience in
computational biology projects involves analyzing and integrating omics data
. Candidate should have a good programming skills in C/Java, Matlab or R.
Programming skills in other language is a plus. Basic knowledge about
graphical models, machine learning approaches is required. Strong
understanding on Bayesian network is highly desired, but not required. The
candidate will be responsible for integrating and analyzing multi-scale
omics data and leverage cutting-edge method to reconstruct disease network
and drug targets validation by working closely with method development team
and laboratory collaborators.
Note:
Exceptional candidate have both strong machine learning background and
biology knowledge can be considered to work cross projects and fields.
Contact:
Please send CV and three reference letters to r*********[email protected]