Physiotherapie Einblick in den Alltag einer Rehaklinik Das bringst du mit… Freundliches Auftreten und Spaß am Umgang mit Menschen Zuverlässigkeit und Organisationstalent Keine Scheu vor Telefon und Computer (Vorkenntnisse sind kein Muss) Interesse an einem Bundesfreiwilligendienst Bereich: Pflegedienst Begleitung der Patienten (z. B. zu Anwendungen, Mahlzeiten, etc) Aufnahme der Neuanreisen (Einchecken und Einweisung) Transport der Patientenkoffer bei An- und Abreise Kleine Botengänge zur Apotheke oder Einkäufe für Patienten tätig Wasserkisten für die Patienten ausliefern Verteilen der Behandlungspläne Hausführungen mit neuen Patienten Diverse organisatorische Unterstützungsarbeiten Bereich: Physiotherapie Besetzung des "Tresendienstes" - erster Ansprechpartner bei allen Fragen im Therapiebereich Hausführungen mit neuen Patienten Aufsicht in kleinen angrenzenden Bereichen Ausgabe von Kühlpacks Diverse organisatorische Unterstützungsarbeiten etc.
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Develop IT-security–focused application software using modern C++ (non-embedded) Implement and integrate a Classroom Training System based on Virtual Battlespace 4 (VBS4), including scenario logic and system extensions Build and maintain distributed simulation environments for multi-user training setups Contribute to software design, UML modeling, code reviews, and unit testing Work with tools such as Git/Mercurial, Qt, and Visual Studio Collaborate closely with simulation specialists and customers in the defence sector Prepare technical documentation and communicate effectively in English Successfully completed degree in Computer Engineering (ETH, FH or TH) Solid knowledge of distributed simulators Experience with Virtual Battle Space 4 (VBS4) In-depth knowledge of object-oriented software development with C++ is an advantage Experience in C++ development outside the embedded domain Professional experience in the defence sector is an advantage Practical experience with Git/Mercurial, Qt, Visual Studio, software design / UML, and unit testing is an advantage Strong analytical skills and the ability to quickly understand complex software systems Solution-oriented, innovative, and independent working style Excellent English skills, both written and spoken By applying through Hays, you will be part of a small, well-fitting selection presented to the client for this position Opportunity to gain valuable professional experience at a globally leading company Professional support throughout the application process: We provide valuable tips for your documents and prepare you specifically for interviews Benefit from exclusive access to exciting companies and projects in collaboration with Hays as a reliable and stable partner Ihr Kontakt Referenznummer 863812/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Mein Arbeitgeber Language: English Administer and maintain Azure AI Foundry workspaces, environments, model catalogs, compute and configurations Manage lifecycle operations for LLMs, embeddings models and model deployments within the platform (excluding agent deployment) Ensure reliability, scalability, and performance of AI Foundry environments across all stages (dev/test/prod) Configure and maintain logging, tracing, telemetry and usage dashboards Monitor performance, cost, quota consumption and operational health of AI Foundry components Implement alerting and diagnostics to ensure platform stability Apply and maintain Azure RBAC, workspace governance and access policies inside the platform Ensure consistency in workspace structure, permissions and operational standards across teams Support internal teams in onboarding and safe platform usage Produce high quality documentation, runbooks, platform guides and onboarding materials Assist internal teams in using AI Foundry capabilities effectively / Provide hands-on troubleshooting and support for platform adoption Practical, hands-on experience managing Azure platforms in production environments Strong knowledge of Azure AI Foundry, Azure OpenAI, and related Azure AI/ML components Familiarity with LLM lifecycle management, platform operations, and governance Experience working autonomously within engineering or platform teams Strong communication skills and ability to assist internal teams Proven ability to produce clear and structured documentation Experience with Portkey for model routing, observability, caching, or guardrails Knowledge of Azure API Management (APIM) Understanding of other AI ecosystem tools such as Promptflow, MLflow, LangChain, or Semantic Kernel Exposure to cloud security best practices Start: April 2026 Remote work possible Ihr Kontakt Referenznummer 863216/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Ihre Aufgaben sind vor allem: Kernarbeit Ihrer Tätigkeit wird die systematische Erfassung und Dokumentation sämtlicher Flächen und Räumlichkeiten der Hochschule mittels CAFM-System (Computer-Aided Facility Management) und/oder CAD-Programmen seinAnalyse und Optimierung der Flächennutzung unter Berücksichtigung von Lehr-, Forschungs- und Verwaltungsbedarfen sowie ökonomischer und ökologischer AspektePlanung und Steuerung von Flächenbedarfen: Bearbeitung von internen Bedarfsanfragen, Prüfung der Anforderungen und Erarbeitung von Konzepten für eine bedarfsgerechte FlächenvergabeMitwirkung bei Umzugsplanungen und internen Baumaßnahmen in enger Abstimmung mit dem Amt für Vermögen und Bau Baden-Württemberg sowie den NutzernDatenpflege und Berichtswesen: Erstellung von Flächennutzungs- und Belegungsplänen, Auswertungen und Statistiken für die Hochschulleitung und das Ministerium (z.