Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- Denmark
- France
- Netherlands
- Poland
- Austria
- Spain
- Luxembourg
- United Kingdom
- Belgium
- Finland
- Singapore
- Switzerland
- Canada
- China
- Czech
- Italy
- Portugal
- Saudi Arabia
- Cyprus
- Ireland
- Romania
- Bulgaria
- Worldwide
- Andorra
- Brazil
- Hong Kong
- Iceland
- Japan
- Latvia
- Slovakia
- Slovenia
- Taiwan
- United Arab Emirates
- 27 more »
- « less
-
Program
-
Field
-
imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
-
on tungsten samples and candidate tungsten alloys will validate the simulations and guide the design of more dust-resistant materials. Finally, we will use machine learning to integrate simulation and
-
uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Physics-guided learning for machine control Description: Robust machine control assumes modeling of robot-environment
-
Postdoc Positions Application Deadline 29 May 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Sep 2026 Is the job funded
-
diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
-
scanning and Time-of-Flight (ToF) sensors, to enable robust material identification directly in non-laboratory, real-world environments. The acquired data will be processed using advanced machine learning
-
knowledge and proven capacity of data analytics and machine learning. *Excellent programming in Python, R, SQL. Have experience with tools such as Google analytics, AWS, Looker, Tableau, or similar
-
Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 May 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Negotiable Is the job
-
. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
-
English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science