Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- University of Tübingen
- Free University of Berlin
- Forschungszentrum Jülich
- Heidelberg University
- DAAD
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Friedrich Schiller University Jena
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Heraeus Covantics
- Johannes Gutenberg University Mainz
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Universitaetsklinikum Erlangen
- 8 more »
- « less
-
Field
-
advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
-
related discipline. Strong expertise in medical imaging and/or machine learning. Excellent programming and research skills. Interest in translational research and interdisciplinary collaboration with
-
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
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 8 days ago
PhD in the field of Medical Physics or comparable applied/natural science # Profound knowledge in machine-learning and strong affinity to apply this in the field of radiotherapy # Expertise in
-
, trauma and history are entangled. Job description: In close coordination with the project management and the other project staff, the computer-assisted analysis of interviews with Holocaust survivors will
-
Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches
-
machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
-
machine learning and statistics; experience with Gaussian process regression and/or probabilistic regression. Experience with normative modelling is an advantage. Proficiency in Python (and ideally C/C
-
to Understand and Improve Veterinary Infectious Disease Models The interdisciplinary 3RTG Graduate School invites applications for PhD positions in the field of infectious disease research using animal models
-
approaches and will integrate novel hardware (including electrode arrays, microdevices, analytical systems) into automated robotic pipelines You will also apply machine learning-based analyses to imaging and