187 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"FEMTO-ST-institute"-"UCL" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Nature Careers
- Empa
- University of Zurich
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Geneva
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- ;
- Academic Europe
- CERN - European Organization for Nuclear Research
- EPFL
- ETH ZURICH
- ETHZ & University of Zurich
- Ecole Polytechnique Federale de Lausanne
- Fluxim AG
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies
- Prof. Dr. Ricarda Toerner
- 11 more »
- « less
-
Field
-
computational science, computational biology, applied mathematics, physics, or a related field Strong, documented experience in C++ programming and solid software engineering skills — applicants should clearly
-
biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
-
, or related disciplines, and bring experience in several of the following areas: Peptide synthesis Mammalian cell culture Protein biochemistry Mass spectrometry Bioinformatics and programming A
-
practical programming experience. German language skills are a plus, as the retrieved documents will be written in German. Experience with Large Language Models (LLMs) and/or RAG deployment, for example with
-
-research/working-environment/family/childcare.html) and attractive pension benefits (https://www.publica.ch/en/about-us/pension-plans/eth-domain-pension-plan) > Working, teaching and research at ETH Zurich
-
) Ability to present results to different audiences (technical, non-technical) Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language 1-3 years of data science
-
programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
-
understanding of effects related to high electric field strengths and voltages and their application. We work with a very strong experimental focus and our researchers plan, design, construct, build, commission
-
programming skills (Matlab/Python, C(++)) and experience with deep learning frameworks such as PyTorch, TensorFlow, Keras has been in your focus. Further, experience with standard supervised machine learning
-
novel systems, plan and execute experiments, and report findings in articles to be published at top venues according to the project’s schedule. Periodic meetings and feedback will ensure the success