155 phd-studenship-in-computer-vision-and-machine-learning PhD positions at DAAD in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
equipment 6 weeks holiday per year; company holidays between Christmas and New Year's Day very good compatibility private and professional life; offers of mobile and flexible work PhD Buddy Program family
-
Description Scientist/PhD-Student position (m/f/div) starting from 1 October 2025 and limited for 36 months in part-time with 67 %. Your key tasks: • Fabrication and characterization of porous
-
knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
-
are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
-
and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
-
Description The International Max Planck Research School for Chemistry and Physics of Quantum Materials is a joint PhD program between the Max Planck Institute for Chemical Physics of Solids in
-
Engineering offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting as soon as possible
-
network of passionate young scientists in Munich. WHAT DO WE OFFER? A structured PhD program created by Munich-based Max Planck Institutes and Universities with English as the main language Individual
-
an interdisciplinary team of biologists and clinicians Well-equipped laboratory with personal mentoring Integration into a structured PhD program at Münster University and the PodoSigN research training group This is a
-
wide range of theoretical perspectives, methodological approaches, and links to educational practice. The interdisciplinary course program focuses on the processes and outcomes of teaching and learning