40 coding-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Engineering, Applied Mathematics, Physics or a related field strong programming skills, e.g. in Python, Julia or C++, and experience in writing clean, well-tested code experience in numerical methods
-
. Participating in code reviews to ensure code quality and to provide & receive feedback. Applying IT security best practices, including e.g. Zero Trust and Least Privilege principles. Working with clients
-
environments. Solid Linux skills and fluency in scripting and automation (Python or similar; detection-as-code is a plus). Ability to communicate clearly with both technical and non-technical stakeholders. A
-
, OpenRouter) storing, querying, cleaning, and validating data using SQL/PostgreSQL applying NLP, statistical methods, and LLM-based approaches to textual data deploying and maintaining research code on Linux
-
personally drove. What did you build, what broke, what did you learn, and what would you do differently? Links to code, reports, or demos help when you can share them. Sanitized examples are fine. Further
-
Interest in lab-automation and working with agentic AI (e.g. Claude Code, Codex) Excellent communication skills in English Strong academic track-record and publication history The ability to collaborate in a
-
. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
-
, MSc and PhD students Profile PhD in Sports Sciences or Engineering in the context of Sports Sciences Experience with longitudinal studies, tracking load and recovery in athletes Excellent coding
-
CV A short cover letter explaining your motivation for the project and how your previous experience makes you a good fit for the position. Link to your relevant projects / code samples (optional
-
verifiable outcomes, such as mathematics, code, tool-use, and reasoning. Develop reward modeling, reward calibration and verifier-based training. Generate and validate synthetic or gym training tasks. Run