Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- Norway
- United Arab Emirates
- Canada
- Spain
- Netherlands
- China
- Denmark
- Hong Kong
- Poland
- Belgium
- Finland
- Switzerland
- Luxembourg
- Singapore
- Ireland
- Australia
- Austria
- Italy
- Japan
- Morocco
- Saudi Arabia
- Taiwan
- Czech
- Portugal
- Romania
- South Africa
- Andorra
- Brazil
- Cyprus
- Estonia
- Greece
- India
- New Zealand
- Barbados
- Europe
- Lithuania
- Mexico
- Slovenia
- Vietnam
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Education
- Earth Sciences
- Environment
- Humanities
- Materials Science
- Physics
- Social Sciences
- Law
- Electrical Engineering
- Business
- Linguistics
- Arts and Literature
- Statistics
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
, technical depth, and a strong track record of applied research in Computational Biology, Structural Biology, Protein Engineering, Machine Learning, or a closely related field. Strong understanding and
-
www.icord.org for more information. Additional information about Dr. Krassioukov‘s laboratory can be found at: http://icord.org/researchers/dr-andrei-krassioukov/. Work Performed: The postdoctoral fellows
-
computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
-
POSTDOCTORAL SCHOLAR Requisition # 4549 Position Basics Advertising Ends on:Monday, March 9th, 2026 Advertising Started on:Monday, February 16th, 2026 College:College of Education Department:Belin
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Genomics, Transcriptomics, and Bioinformatics Department Bashashati Laboratory | School
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the Research Environment The postdoctoral position forms part
-
) training personalized computational models in new contexts, and (iii) studying in-silico clinical intervention strategies. The postdoctoral fellow will have the opportunity to: Learn about computational
-
monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
-
, information processing, mathematical models, neural networks, learning theory For additional details, refer to the lab’s webpage. Toyoizumi Lab https://toyoizumilab.riken.jp/ * details of the business RIKEN is
-
techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is