Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- University of Tübingen
- Charité – Universitätsmedizin Berlin
- Constructor University Bremen gGmbH
- Forschungszentrum Jülich
- Free University of Berlin
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Medical Research, Heidelberg
- Max Planck Institute for Social Law and Social Policy, München
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Nature Careers
- 2 more »
- « less
-
Field
-
. Requirements for employment are a completed PhD degree in a relevant field (computational linguistics, computer science, cognitive science, or similar), near native-level of spoken and written English, and
-
28.01.2026, Academic staff We are looking for a team lead with knowledge in electrochemistry that will lead our activities in RDE/RRDE and flow cell operation coupled to operando analytics, e.g. ICP
-
well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
-
their PhDs will also be considered. Experience with qualitative methods is required. Applicants should have demonstrated independent experience in designing and carrying-out empirical qualitative research
-
: (1) contributing to the development of new analytical tools for the empirical assessment and comparison of welfare state institutions, (2) leading and coordinating the collection of legal information
-
the VIOLET research framework Work closely with clinicians and data scientists to ensure the developed systems meet clinical needs and are validated against real-world scenarios Mentor and supervise PhD
-
ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
-
and reality gap bridging for deformable object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics
-
neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio-)Statistics
-
data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard programming languages