63 phd-biomedical-signal-processing Postdoctoral positions at Technical University of Munich
Sort by
Refine Your Search
-
motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
-
data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
-
. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
-
13.03.2023, Wissenschaftliches Personal We are looking for motivated students to work on the development and implementation of a cheap and scalable ceramic processing concept towards a fully sprayed
-
19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
-
activities include supervising students and teaching. Your Qualifications PhD in Chemical Engineering, Chemistry, Physical Chemistry, or Mechanical Engineering with a focus on combustion/atmosphere) Proven
-
solution approaches). Additionally, you will be involved and collect experience in supervision of PhD students, teaching, and further academic and administrative affairs of our professorship. Your profile
-
and supervise PhD candidates and student assistants Contribute to project governance and represent the project in steering committee meetings Your profile: An outstanding doctoral degree (e.g., magna
-
for their use as sensors or improving signal acquisition by modern image processing based on artificial intelligence. Magnetic imaging and near-field microscopy. We operate a scanning probe microscope that can
-
consortium-based tasks related to the 6G-Life project. Additionally, the methods and findings developed throughout the PhD track will be scalable and applicable to other research projects in MIRMI