Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Students (f/m/x) Research Focus IMPRS-GS: Projects span experimental (genomics, transcriptomics, proteomics, etc.) and theoretical (bioinformatics, computational biology, etc.) disciplines. GönomiX: Focuses
-
diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide chemistry is required, as well as a
-
the network training as secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen
-
Associate / PhD Student (m/f/x) within the MSCA Doctoral Network SLICE (due to funding, the salary is calculated according to MSCA regulation) starting October 1, 2026. The position is limited to 36 months
-
PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
skills We offer: Professional and interdisciplinary support through the BAM Graduate Academy, including skill-building and networking formats offered by the Menschen-Potentiale Qualification Programme
-
provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
-
EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
-
on board! RESEARCH PROGRAM: The Institute of Medical Biochemistry, headed by Prof. Tim Lämmermann, is part of the Centre of Molecular Biology of Inflammation (ZMBE) and embedded within a vibrant
-
are looking for talented people to join us. Your responsibilities include: MI Project IE2501 “Safe Hydrogen Networks: ML-Supported Safety Analysis and Optimized Sensor Placement” Research in the field of safety
-
specifically, the computational team will build on our previous work (PMID: 38951512) to establish and train deep neuronal network models on large existing dataset with multi-omic data. Subsequently