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MARUM / GLOMAR Courses 2019

To subscribe to any of the courses listed below, please fill in the respective registration form which can be found on the sub-pages describing the courses.

Courses written in italics are offered in cooperation with one of our partner institutions.

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Coming up in 2019, not scheduled yet

 

Month

Day(s)

Course Topic

Lecturer(s) / Trainer(s)

Course Type*

January 18 How to write a good a review - an editor's view Prof. Dr. Burghard Flemming TS
Ferbruary 4 Good Scientific Practice Prof. Dr. Reinhard X. Fischer
Prof. Dr. Dierk Hebbeln
Dr. Christina Klose
TS
  7 - 8 Sketchnotes for Scientists Natalie A. Peter PE
March 6 Scientific Writing for Natural Scientists
(Day 1/6)
Dr. Rebecca Rendle-Bühring BSM
  18 Proposal Writing
(Day 1 / 4)
Prof. Dr. Dierk Hebbeln
Prof. Dr. Michael Schulz
TS
  19 From career choice to career goal – with a convincing application Dr. Gaby Schilling TS
  20 From career choice to career goal – Standing your ground and finding a job - for female scientists Dr. Gaby Schilling TS
  25 - 29 ECORD Training Course Dr. Ursula Röhl et al. SK
April 4 - 5 The Art of Self-Presenting for Female Scientists Dr. Saskia Schottelius TS
May 2 - 3 Conveying the Message - Communicating Complex Science to Non-Experts Werner Große TS / PE
  8 - 10 Statistics - An Introduction to Hypothesis Testing and Parameter Estimation (Using R) - Part I [at AWI] Prof. Dr. Dieter Wolf-Gladrow BSM
  22 - 24 Climate Time-Series Analysis in the Frequency Domain Prof. Dr. Michael Schulz SK
June 17 - 19 Statistics - An Introduction to Hypothesis Testing and Parameter Estimation (Using R) - Part II [at AWI] Prof. Dr. Dieter Wolf-Gladrow  BSM
July        
August 23 Scientific Writing for Natural Scientists
(Day 1/6)
Dr. Rebecca Rendle-Bühring BSM
September        
October        
November        
December 4 Scientific Writing for Natural Scientists
(Day 1/6)
Dr. Rebecca Rendle-Bühring BSM

 

Coming up in 2019, to be scheduled

An Introduction to R (software use and code writing)
Maps for Publication: An Introduction to GMT
An Introduction to MATLAB

 

*Course types: BK - Basic Knowledge
  BSM - Basic Skills and Methods
  TS - Transferable skills
  SK - Specific Knowledge
  OT - Overarching Topics
  PE - Public Engagement / Science Communication