162 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Humboldt Universität zu Berlin" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zürich
- University of Basel
- ETH Zurich
- Empa
- Paul Scherrer Institut Villigen
- Nature Careers
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- HES-SO Genève
- CERN
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- Idiap Research Institute
- Inselspital Bern
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- University of Geneva
- University of Zurich
- Università della Svizzera italiana (USI)
- 10 more »
- « less
-
Field
-
sustainability (max. 0.5 page) • a list of publications and other research outputs, including datasets, code, etc. • a copy of their PhD certificate Please note that page limitations do not include references
-
will be responsible for a range of research tasks, including literature search, data curation, coding for systematic literature reviews, data analysis, and miscellaneous administrative activities (e.g
-
quantitative skills and comfort with coding, and good analytical thinking You are committed to working in an interdisciplinary team blending climate modeling, geochemical process models, and new geochemical data
-
) Unsupervised machine learning and deep learning methods Analysis, visualization, and interpretation of learned design spaces Contributing to research outputs (prototypes, publications, open-source code) Profile
-
mechatronics systems is a plus Excellent coding skills in python, ROS, and RL&IL pipeline experience on simulator and training libraries. Knowledge on C++ is a plus Experience with Physics simulators such as
-
programming skills (ideally Python) and commitment to clear, reproducible, well-structured code Working knowledge of SQL and/or NoSQL databases (and motivation to deepen your expertise) Strong analytical
-
community Contribute to R data publication packages washr and fairenough Profile You care about data and code being concise and easily reusable You know how to use standard data science tools (Git, GitHub, R
-
plus. You enjoy working with complex, multimodal datasets and developing robust algorithms for continuous monitoring and predictive modelling. You are comfortable combining coding, data analysis, and
-
development, validation, and safe integration of locally hosted LLMs for automated coding of pediatric diagnoses from electronic health records (EHRs), with the goal of enhancing research capabilities and
-
disseminated through open-source code and scientific publications. Start: As soon as possible (applications reviewed on a rolling basis) Duration: 6 months (extendable) Job description Apply computational and