This project aims to evaluate the feasibility and effectiveness of using in vitro and in vivo models to characterize FcRn binding and to estimate the elimination PK parameters of antibody drug candidates in human. This will include: data analysis, comparison of in-vitro and in-vivo data, data mining, in silico models, reporting.

Major accountabilities:

• This internship will focus to work on a discovery pharmacokinetic screening project using a new established hMice model in collaboration with a non-profit organization outside of Novartis (in life part will be outsourced)
• Work on your own Pharmacokinetic evaluation and modeling project under the guidance of senior-level quantitative scientists
• Analyze data from various sources (e.g., animal studies) as well as in vitro investigations
• Attend seminars and other activities to enhance the understanding of the drug development process
• Present your project results to quantitative scientists and other stakeholders.

• Gathering information and conducting research through desk studies, collection of quantitative data and stakeholder consultation via emails and interviews
• Supporting project management including communication with clients, partners and external experts and internal/external reporting tasks
• Supporting the organisation and implementation of project events such as workshops and meetings 
• Supporting data analysis and the drafting of sections of reports and other deliverables under the supervision of senior team members.

The main purpose of the internship is to provide updates to the International Catalogue of Sealed Radioactive Sources (ICSRS), upload and properly tag data, and to review source and device manufacturer information and provide updated photos and information to the ICSRS. Other tasks to support the DSRS team projects.

Functions:

• Obtain new information including and photos/drawings on existing sources and devices by contacting source and device manufacturers.
• Enter updated information into the ICSRS and confirm functionality.
• Perform broadscale reviews of data uploaded into both the DSRSNet and ICSRS for any errors, inconsistencies and duplications.
• Input available information into the Source Management System of the DSRS Team.

• Dialoguer avec le métier pour comprendre et vous approprier leurs besoins,
• Apprendre et vous tenir à jour sur les techniques actuelles de data science,
• Valider et explorer les données en relation avec vos problématiques
• Proposer des solutions aux problèmes métiers,
• Présenter vos résultats,
• Participer à la vie de l'équipe.

• Assist in exploring and potentially setting up a new system to streamline People & Culture processes.
• Support existing HR processes and identify opportunities for automation and digital enhancements.
• Support data management, reporting, and insights to improve decision-making
• Create guides, FAQs, and training materials to support system users
• Learn and support the L&D, Compensation & Payroll and the People Experience team with both project and daily ad hoc task.

• Assist the team in carrying out the controls defined in the Compliance and Internal Control Plan, as well as in evaluating identified risks and implementing appropriate management measures;
• Contribute to the follow up of recommendations issued during the controls;
• Contribute to the updating of records to ensure their ongoing compliance;
• Contribute to the updating of the Tikehau IM procedures manual and ethics manual;
• Contribute to the elaboration of reporting on the activity;
• Work in collaboration with the other compliance officers in their various tasks.

Toyota  Technical  Center  (R&D)  in  Europe is  responsible  for the planning, design  &  styling, development and production of attractive, superior quality cars matching European market requirements. Within our R&D-organisation, Styling Design division plays a key role in the early design and styling development of our future models.

The Digital Modelling Team supports the designers in creating our new production cars. It requires technical modelling and visualization skills but also a good understanding of form and 3D volumes. Your communication with the designers and clay modellers is also essential.

Your project

• Reinforcing CAD modelling team in running projects.
• Creating 3D parts that will be used to mill onto our hard models and will be used for virtual presentations.
• Use your creativity to experiment with innovative 3D modelling and visualisation techniques.
• Work on your own personal assignment.

• Active part in the development, execution, and monitoring of global upskilling campaigns on artificial intelligence
• Close collaboration with cross-functional teams on AI-related projects and initiatives
• Support in the monitoring of artificial intelligence pilots to gather valuable insights and data
• Contribution to the creation of newsletters that provide stakeholders with the latest AI insights, trends, and developments
• Communication with global, business unit (sales, marketing, strategy), and digital teams.

In this role you’ll be part of an actively growing Professional Services (PS) team. The Cisco Professional Services organization helps customers optimize their network investment and speed adoption and migration of sophisticated technologies. A key component of the PS portfolio is our Project Management capability and expertise. You’d be supporting Project Management team in their daily tasks as well as take part in training on projects assisted by a guide Cisco Project Manager. 

Day to day that means:

• assistance in successful completion of customer projects led by Project Managers.
• ensuring the accuracy of project data in internal tools and systems. 
• active participation in Team’s life and ensuring effective communication between team members. 
• assisting Project Managers in performing project administration activities.

Drug Product Services (DPS) is a fast growing organization with different departments. The analytical development team (with currently around 20 people) wants to provide young talents the opportunity to join their team and support the team for various task but also be able to improve their practical experience and get an insight into industry.

Key responsibilities:

• Support:
• AD scientists
• Platform method evaluations
• Non-GMP stability testings
• Method developments.

You will join our Transport Control Center department and provide operational support to the team responsible for road and sea shipments, particularly in:

• Coordinating processes related to loading orders onto transport vehicles,
• Preparing and controlling the complete set of transport documents,
• Coordinating road and sea transports to ensure timely delivery,
• Resolving ongoing issues related to order fulfillment and transportation.

We are looking for an intern student with expertise in computational chemistry to contribute to the development of novel insulating materials for high-voltage power grid applications. In this position, you’ll contribute to the development of innovative insulating materials, leveraging cutting-edge computational chemistry tools. This 6- to 12-month internship offers you the chance to play an active role in shaping the future of energy solutions while gaining invaluable hands-on experience.

How you'll make an impact

• Contributing to technology development and research activities focusing on material analysis and characterization
• Supporting simulations of gas insulation systems using state-of-the-art computational chemistry software
• Investigating the relationship between microstructure and material characteristics, documenting findings and sharing results with the team.

• Propose an experiment design for modeling the conversion rate for the conjugation processes of reduction, conjugation & re-oxidation
• Propose and execute a DoE strategy to optimize the conjugation platform.
• Define and deploy an analytical strategy to control the conjugation step.
• Support the collection and reprocessing of data in connection with DSP steps.
• Contribute to the interpretation of experimental results with respect to process performance.
• Collaborate and exchange with process experts.
• Document your work and propose avenues for improvement and further development.

You will be trained to work autonomously in the lab and on data analysis, participate in experimental design, and take part in all project-related discussions.

Your role will be at the forefront of tackling complex challenges in the field of ophthalmology. You will develop and apply cutting-edge computational methods, perform in-depth statistical analyses on multimodal medical datasets, and create, implement, and evaluate computational assistance approaches on real-world data.

But your contribution won't stop at research and development. You will also have the unique opportunity to share your findings and insights with our team, fostering a collaborative environment that thrives on innovation.

• Maintain and promote a safe and clean working environment, both in the lab and in the field, in compliance with safety policies and procedures
• Follow safe work practices with a goal of zero safety incidents
• Work according to quality standards set by Lab Management (e.g., AS9100)
• Set up, execute, analyze, and report experiments independently within your unit
• Take ownership of assigned topics and tasks
• Document laboratory results accurately using lab notebooks, reports, meeting minutes, and monthly summaries
• Keep laboratory methods up to date and retain knowledge through regular documentation and research reports
• Help protect AkzoNobel's technologies through adherence to IP laws and participation in patent application processes.