Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Cornell University
- Purdue University
- Nature Careers
- University of Oslo
- Brookhaven Lab
- CNRS
- Chalmers University of Technology
- Curtin University
- Erasmus University Rotterdam
- Leibniz
- NTNU Norwegian University of Science and Technology
- Queensland University of Technology
- RMIT University
- The Ohio State University
- University of British Columbia
- University of Cambridge
- University of Massachusetts Medical School
- University of Miami
- University of Münster •
- University of Utah
- 11 more »
- « less
-
Field
-
. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
-
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
-
Job Description Apply now Req Id: 37057 Job Title: Post Doc Research Assistant in Suppy Chain & Operations Management City: West Lafayette Job Description: Job Summary The Supply Chain and
-
division at the department of Electrical engineering at Chalmers. Here, a team of PhD students, post-docs and senior researchers are working on modeling and numerical optimization of problems in the areas
-
screening (Ulrike Haug), prevention and implementation science (Hajo Zeeb, Daniela Fuhr), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot
-
Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
-
publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
-
Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Apr-25 Location: Ithaca, New York Type: Full-time Categories: Academic/Faculty Internal Number: 3-95986 Post Doc
-
Transactions on Probabilistic Machine Learning. A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, L Kennedy, J Gabry, PC Bürkner, M Modrák (2020). Bayesian Workflow. B Carpenter, A Gelman, MD