Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Empa
- Nature Careers
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Zurich
- Academic Europe
- EPFL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- European Magnetism Association EMA
- Swiss Federal Institute of Technology Lausanne, EPFL
- UNIVERSITY OF ST GALLEN
- University of Bern
- Universität Bern
- ZHAW - Zurich University of Applied Sciences
- CERN
- EPFL - Ecole polytechnique fédérale de Lausanne
- ETH ZURICH
- Ecole Polytechnique Federale de Lausanne
- Ecole Polytechnique Federale de Lausanne - EPFL
- GRADUATE INSTITUTE
- Graduate Institute of International and Development Studies, Geneva;
- Institute for Research in Biomedicine (Bellinzona)
- University of Applied Sciences Northwestern Switzerland
- University of Berne, Institute of Cell Biology
- University of Geneva
- Universität Basel
- Université de Genève
- École Polytechnique Fédérale de Lausanne (EPFL)
- 20 more »
- « less
-
Field
-
PhD; Excellent master's degree in computational science, physics, mathematics, chemical engineering, or a related discipline; Experience in mathematical modelling and numerical methods for ordinary and
-
applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
-
Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC experience is a
-
and outbound prospects related to any outreach and sales activities for SNAI. Devise and implement sales formats enabling multiple prospects to engage with SNAI offerings in parallel (thematic events
-
different statistical methods are applied to analytical problems in climate risk and adaptation. Examples should include classical statistical methods and machine learning. The Hilfsassistent:in will identify
-
computational modelling with experimental validation. The project involves developing time- and position-dependent models of electrochemical double layers, and parameter estimation methods incorporating
-
and validate developed methods on embedded platforms and sensor prototypes. Collaborate with experts in embedded systems, digital IC design, and applications to realize end-to-end human–computer
-
climate projections and weather forecasting by adapting numerical models to leverage new and emerging computing architectures. Project background MeteoSwiss plays a crucial role in delivering climate
-
signal processing and/or survey datasets. ML & AI techniques and applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering
-
100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of