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20.11.2024
Research Associate and Doctoral Candidate (f/m/d) in Intelligent Energy Management Systems
The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Research Associate and Doctoral Candidate (f/m/d) in Intelligent Energy Management Systems.
You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant research environment? Then let’s design the energy management systems of the future together!
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Kontakt: applications.emt@ed.tum.de
19.11.2024
Doctoral Candidate in Machine Learning and Game Theory
A PhD position (E13) in the fields of machine learning and game theory is available at the Department of Computer Science at TUM at the Chair of Decision Sciences and Systems in the lab of Professor M. Bichler.
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Kontakt: M. Bichler, dss@in.tum.de
11.11.2024
PhD student (m/f/d) within the LuFo VI-3 project BIG-ROHU for physically based & data driven neural network prognosis and health management of helicopter components
In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the actual stress of helicopter components using a data-based as well as a physics-based approach.
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Kontakt: office.ht@ed.tum.de
16.10.2024
Doctoral Candidate (MSCA) in legal and ethical aspects of LLM-based tools
We are seeking a highly motivated Doctoral Candidate (DC) to join our research team as part of a prestigious Marie Skłodowska-Curie Actions (MSCA) Doctoral Network (DN) project: AlignAI. The AlignAI Doctoral Network aims to train doctoral candidates in the interdisciplinary Large Language Model (LLM) research field.
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Kontakt: camila.hidalgo@tum.de
01.10.2024
Wissenschaftliches Personal
TESTTEST
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Kontakt: petra.peklo@tum.de
01.10.2024
Research Associate (PhD) for Heterogeneous Catalysis
The Chair of "Catalytic Interfaces for Sustainable Chemical Energy Carriers" is recruiting up to 3 Ph.D. students at the Technical University of Munich (TUM) at the earliest start date, ideally in late 2024 or in the beginning of 2025. We will apply fundamental insights into heterogeneous catalytic interfaces to the sustainable manufacture of chemicals. Specifically, we are interested in how ion transport and surface phenomena affect electrocatalytic transformations.
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Kontakt: m.huelsey@tum.de
23.09.2024
PhD Position in T Cell Immunology
The research group of Prof. Marc Schmidt-Supprian at the Institute of Experimental Hematology is seeking a highly motivated PhD student starting from now onwards. The research project focuses on regulatory T (Treg) cells and investigating their context-specific identity and function in B cell-driven autoimmune diseases. This collaborative project is embedded in the Transregional Collaborative Research Centre TRR 355 and is funded for three years.
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Kontakt: marc.supprian@tum.de
23.09.2024
Research Associate (Postdoc) Position in B Cell Immunology
The research group of Prof. Marc Schmidt-Supprian at the Institute of Experimental Hematology at the Technical University Munich is seeking a highly motivated Research Associate (Postdoctoral fellow) or PhD student to join our team starting from now onwards. This position is funded for three years and focuses on cutting-edge research in the field of B cell immunology, specifically on Marginal Zone (MZ) B cells.
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Kontakt: marc.supprian@tum.de
18.09.2024
PhD and PostDoc Positions in Visual Computing & AI (LS28, Prof. Niessner)
We have several 𝐏𝐡𝐃 & 𝐏𝐨𝐬𝐭𝐃𝐨𝐜 𝐨𝐩𝐞𝐧𝐢𝐧𝐠𝐬 in our Visual Computing & AI Lab in Munich!
Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion Models, LLMs, etc.
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Kontakt: niessner@tum.de
14.09.2024
Wissenschaftlicher Mitarbeiter (m/w/d) in den Bereichen Prozessüberwachung und maschinelles Lernen in Kooperation mit Boeing
Für unser Team am Standort Garching bei München suchen wir ab sofort und in Vollzeit einen wissenschaftlichen Mitarbeiter (m/w/d) im Bereich Prozessüberwachung und maschinelles Lernen in Kooperation mit Boeing.
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Kontakt: Martina.Sigl@iwb.tum.de
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