Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Netherlands
- Germany
- France
- Denmark
- Norway
- Spain
- United Kingdom
- Belgium
- Austria
- Poland
- Switzerland
- Portugal
- China
- Czech
- Luxembourg
- Canada
- Ireland
- Singapore
- Finland
- Saudi Arabia
- Lithuania
- Morocco
- Brazil
- Cyprus
- Hong Kong
- Italy
- Japan
- Romania
- Slovenia
- Andorra
- Bulgaria
- Estonia
- Greece
- Taiwan
- United Arab Emirates
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Science
- Biology
- Engineering
- Economics
- Chemistry
- Materials Science
- Earth Sciences
- Environment
- Linguistics
- Mathematics
- Psychology
- Electrical Engineering
- Humanities
- Arts and Literature
- Business
- Physics
- Education
- Law
- Design
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
. Technical skills: Proficient in using E-views and Stata for econometric modeling. Advanced expertise in business intelligence, data analysis, data science, and machine learning tools. Capable of developing
-
FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Proven track record of publications in computer graphics, generative models, or deep learning for 3D objects; Proficient programming
-
the upcoming flood type, e.g. heavy-rainfall flood or rain-on-snow flood. As PhD candidate you will compare several machine-learning based algorithms regarding their ability to predict the flood type based
-
at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data
-
implementing computational schemes for ODE and / or PDE based models Ideally experience with machine learning methods for identifying governing equations from experimental observations (e.g., https://github.com
-
experiments, and machine learning (ML) to understand and predict multiscale transport phenomena in fuel cell systems. In particular, the postdoc will bridge pore-scale simulations and macroscale performance
-
reliability. · Understanding of hardware accelerators for AI and their operation. · Familiarity with machine learning workloads (e.g., CNNs). As this is a research position, it is necessary
-
for employment as a postdoc. If you have undergone teaching and learning in higher education training equivalent to two weeks in accordance with the Association of Swedish Higher Education Institutions
-
Researcher (R2) Positions Postdoc Positions Country Poland Application Deadline 1 Jan 2026 - 23:42 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Feb
-
economic assessments machine learning or proxy-model based methods field scale simulation geological features geomechanics reactive flow The PhD fellow are not expected to master all these topics. Project