Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- United Kingdom
- Sweden
- Spain
- Portugal
- Netherlands
- Singapore
- Belgium
- Norway
- Denmark
- Poland
- Austria
- Australia
- United Arab Emirates
- Switzerland
- Canada
- Finland
- Czech
- Italy
- Ireland
- Luxembourg
- Hong Kong
- China
- Romania
- Estonia
- Morocco
- Brazil
- Cyprus
- Japan
- Latvia
- Croatia
- Lithuania
- New Zealand
- Bulgaria
- Greece
- Kuwait
- Slovakia
- Andorra
- Europe
- Iceland
- India
- Malta
- Slovenia
- Worldwide
- 36 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Business
- Chemistry
- Environment
- Earth Sciences
- Psychology
- Electrical Engineering
- Linguistics
- Arts and Literature
- Humanities
- Education
- Physics
- Social Sciences
- Law
- Sports and Recreation
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
related discipline. The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine
-
from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
-
the future. https://nusit.nus.edu.sg/ Job Purpose Build intelligent, scalable applications by leveraging AI tools throughout the development lifecycle—from requirements analysis to deployment. Design and
-
on the Vector Observatory project (https://www.malariagen.net/vobs/ ). Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three
-
validation (preferred) • Good programming skills (MATLAB, Python, or similar) • Ability to work in an international and interdisciplinary research environment • Good written and spoken English Specific
-
. Preferred Qualifications: Proficient in Python (or C/C++) & R programming. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc
-
in bioinformatics or genomic data analysis, and possess strong programming skills in languages commonly used in bioinformatics, such as Python and R. Candidates should also have experience with genomic
-
or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject
-
of postdoctoral experience or equivalent in using DFT for studying reaction mechanisms and materials. Demonstrated programming skills (Python, Fortran, C++). Proven track record of publishing scientific papers in
-
the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and