Sort by
Refine Your Search
-
Country
-
Employer
- Princeton University
- University of Minnesota
- Rutgers University
- Deutsches Elektronen-Synchrotron DESY
- Duke University
- HITS gGmbH
- Helmholtz-Zentrum Hereon
- Human Technopole
- ICN2
- Latvijas Organiskas Sintezes Instituts
- Pennsylvania State University
- Texas A&M AgriLife
- Universitat de Barcelona
- Universität Duisburg Essen
- Yale University
- jobs.ac.uk
- 6 more »
- « less
-
Field
-
to that mission. We will award up to four postdoctoral fellowships to our 2027-28 cohort. PIIRS seeks recent PhDs in the Social Sciences who have demonstrated exceptional scholarship, congruent with the Institute's
-
methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
-
for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
-
computing and/or cloud computing; familiarity with Earth system models through model development, model execution, and/or model performance diagnoses; applied mathematics methods such as machine learning
-
administrative tasks. Developing proposals for projects and securing external funding Providing academic guidance to a group of early-career researchers Your profile a successfully completed PhD in physics
-
contribute to project reporting. Work with the interdisciplinary team of the group (theory, computation, machine learning) and support junior researchers on SOT-related topics. Requirements: Education: PhD in
-
, for event reconstruction and classification, including potentially machine learning/AI Interpretation in suitable theoretical models Contribution to software activities that are required for wider use by DESY
-
Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD Degree in a relevant scientific field (e.g. genetic epidemiology
-
transfer (CHT) or fluidic manifold optimization Experience with machine learning/AI (PyTorch or TensorFlow), reduced-order modeling (ROM), or data assimilation (DA) Experience with GPU programming (CUDA and
-
material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and validate the model by comparing the results to experimental observations. 4) Support the