Bioprocessing Entrepreneurial Skills Training (BEST) Programme – September 3rd – 8th 2023, Durham

Do you want to find out how your career might develop working for industry, the differences between industrial- and academic-driven research and how the industrial environment matches your career ambitions? 
Have you ever thought of developing your ideas into commercial outcome and impact? Here’s your opportunity to answer these questions and find out much more about your ability to work in teams and how the innovative, entrepreneurial spirit drives research translation.

Sessions form part of an integrated package that culminates in a Dragons’ Den-type pitch to establish a novel business concept:
Talks on molecular design for developing, manufacturing and delivering biological therapeutics and the societal/economic considerations for new therapeutics
Tutoring on the tools needed for self-awareness when working with others, career development and the entrepreneurial process
Visits to industrial sites (Centre for Process Innovation, FUJIFILM Diosynth Biotechnologies, GlaxoSmithKline) coupled with presentations from, and discussions with, industrial scientists.

REGISTER HERE

Lonza, Cambridge – job opportunity

Are you a PhD student with experience in Molecular Biology and Mammalian Cell Culture and keen to work in industry?

Lonza, Cambridge has a fantastic job opportunity in their R&D Vectorology team

Further details and role specification HERE

16th Conference on Protein Expression in Animal Cells, September 24-28, 2023 – Sitges, Spain

The 16th Conference on Protein Expression in Animal Cells will be held from September 24-28, 2023 in Sitges, Spain

The goal of the 16th PEACe Conference is to continue the tradition of bringing together scientists from academia and industry to share knowledge in the field of recombinant protein expression.

  1. Latest developments in protein engineering, expression, secretion, post-translational modifications and production in alternative animal cellular systems, including highlights on cell engineering and large-scale protein production and bioprocessing
  2. Informal discussions and networking with delegates from both academia and industry
  3. Updates on reagents and equipment presented by vendors through workshops

Registration details and more information – https://www.peace-conference.org/

ESACT Frontiers – October 18–21, 2023 at the Bedford Hotel, Brussels, Belgium

ESACT Frontiers – October 18–21, 2023 at the Bedford Hotel, Brussels, Belgium

ESACT Frontiers Retreats invite you to the 4th edition taking place in Brussels, Belgium, in October 2023. The retreat is dedicated to early career scientists working on the advancement of cell technologies and related fields across biologics, viral vectors and cell-based therapies.

  • Excellent scientific program, with sessions focused on early career speakers
  • Dynamic workshops on transferrable skills and personal development
  • Inviting atmosphere for networking and interactions

    More information HERE

EPSRC CASE PhD opportunity at University of York – Computational prediction of purification strategies for industrial protein production.

This 4-year fully-funded EPSRC CASE PhD project is a collaboration between the Departments of Biology (Dr Michael Plevin, Dr Jared Cartwright) and Computer Science (Prof Susan Stepney) at University of York and FUJIFILM Diosynth Biotechnologies (FDBK).

The goal of the project is to evaluate whether computational modelling and optimisation can predict protocols for flow­-through purification of recombinant protein targets. Flow-­through purification approaches address a real-world need for economic and flexible production of proteins in smaller amounts for more specialised or smaller markets, and would allow low volume production facilities to be located closer to the point of use.

Please contact Michael Plevin or Susan Stepney for more information.

More details and links to the application process can be found here: https://www.findaphd.com/phds/project/fully-funded-epsrc-icase-project-with-fujifilm-computational-prediction-of-purification-strategies-for-industrial-protein-production/?p142004