Career Evolution

Career Evolution

Web Series: From Science2Industry

The Career Evolution Web Series: From Science2Industry is offered by the Industry Track of the Planck Academy in collaboration with the PhDnet and PostdocNet of the Max Planck Society.
It particularly addresses PhDs, Postdocs and Research Group Leaders but is also open to any interested party of the Max Planck Community and its friends.

Please contact the if you would like to attend a meeting and don't have the link!

Upcoming events

22.10.20 4pm – 5pm Nataliya Limbach-Malyar – Project Engineer, Outokumpu Nirosta

29.10.20 4pm – 5pm Edith Chorev – Data Sciencist at FactoryPal

05.11.20 4pm – 5pm Chris Armbruster – Data Scientist

12.11.20 4pm – 5pm Daniela Vorholt – Project leader at Miltenyi Biotech

19.11.20 4pm – 5pm Chris Armbruster – Data Sciencist

26.11.20 9am – 10am Yvonne Brockhaus – Planck Academy trainer

10.12.20 4pm – 6pm Nicol Keith/Christoph Köller – Horizon Scanning

10.12.20 4pm – 5pm Rober Ian Etheredge

17.12.20 4pm – 6pm Nicol Keith/Christoph Köller – Horizon Scanning

Past events

23.07.20 4pm – 5pm Isabelle Schiffer - Scientific Spokesperson at Forever Healthy Foundation

30.07.20 4pm – 5pm Victor Bustos - EiR at Apollo Health Ventures

06.08.20 4pm – 5pm Vijay Shankar Balakrishnan - Journalist, Writer, Podcaster, Soft Skills trainer

13.08.20 9am – 10am Anne Grewlich-Gercke – The Industry Track of the MPG

20.08.20 4pm – 5pm Carlos Cristiancho – Corporate innovation at Evonik

27.08.20 9am – 10am Imke Rajamani – Social Science innovators

03.09.20 4pm – 5pm Robert Kraus – From PI to project management

10.09.20 4pm – 5pm Patrick von Born – E.ON Inhouse Consulting

17.09.20 4pm – 5pm Thomas Äskov Pedersen – Scientist at Novo Nordisk

24.09.20 4pm – 5pm Thomas Koch – Science management

01.10.20 4pm – 5pm Martin Ellmers – McKinsey

08.10.20 4pm - 5pm Fit for industry? Recruitment training with Rainer Schmidt-Rudolff from Infineon

15.10.20 4pm – 5pm Chris Armbruster – Data Scientist

15.10.20 5:30pm – 5:60pm Should I stay or should I go – How to decide for or against a career in academia

 

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