Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in
-
requiring VISA sponsorship*. Fellows must enroll in the program between July 1, 2026 and January 1, 2027. Applicants may submit an application prior to defending their Ph.D. but must complete their Ph.D. and
-
substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
-
Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
-
The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
-
date 2 Postdoc Positions in Pancreatic Cancer Immunology and Computational Biology Reference number: 2025-0274 The Saur Lab is deploying advanced in vitro and in vivo model systems, genetic perturbations
-
academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
-
Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific
-
Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38,5 h/week) The position is offered as a fixed-term appointment until 30 September 2032, corresponding to the duration of the professorship
-
, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation Ability to work well in an interdisciplinary environment