55 postdoctoral-position-in-computational-electromagnetics Postdoctoral positions at Technical University of Munich
Sort by
Refine Your Search
-
03.02.2023, Wissenschaftliches Personal Postdoc Position (m/f/d, TV-L E 12 position, for 15 months, extension possible depending on funding) in “Surface Chemical Physics and Molecular Nanoscience
-
17.11.2022, Wissenschaftliches Personal TUM School of Management at TUM Campus Heilbronn invites applications for a Postdoc position (m/f/x) in the area of Entrepreneurship / Family Enterprise
-
learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k
-
learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k
-
10.08.2021, Wissenschaftliches Personal Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification
-
PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
learning • robotics and/or mechatronics • computer languages C, C++ and Python and interest to work in an interdisciplinary environment are desired. German language skills are necessary for this position
-
vision, machine learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100
-
their CV including bachelor and master degrees, and a motivation letter detailing their interest and suitability for the position. Mission: We synthesize and test novel catalysts for sustainable energy
-
of targeted therapies. Analyzing high-dimensional single-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal
-
. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning