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Autumn 2017 Course List

Date

Course

Registration Deadline

Sept 18-20

Basic Light Microscopy

Sept 12

Oct 12+13

Career Planning

Sept 15

Oct 17, 19, 24, 26
Nov 2, 7, 9

Introduction to Python Programming for Bioscientists

Sept 15

Oct 26

Your Final Year as a PhD student

Oct 15

Nov 3

Using the Rosetta Algorithm for Predicting Protein Structure

Oct 15

Nov 9+10

Team work and Leadership in Academia

Oct 15

Nov 30

From Basic Research to Market

Oct 15

Dec 8

Introduction to Molecular Visualization with PyMOL

Nov 15

Dec 8
Moviemaking with PyMOL
Nov 15
These courses are designed for PhD students. Post-docs, technicians and undergraduate students from our institutes. Students from outside our institutes may participate on a space-available basis.
To register, please send an email with your name, program affiliation/status and lab to courses[at]tuebingen.mpg.de. Please copy your registration email to your advisor/supervisor.
Should you be unable to attend a course that you have registered for, please send an email cancelling your participation as soon as possible, but no less than 3 days before the start of the course.
 
 

PhD Introductory Course

September 25 - October 13, 2017
Mandatory for first year students
You will be introduced to all faculty members and their scientific expertise, as well as the methods and infrastructure available within the institute. The introductory course will also let you get to know your fellow students.
Details available through the PhD program office.

Basic Skills Courses

Basic Skills courses will be offered again in spring 2018

Advanced Scientific Courses

Basic Light Microscopy
Date:                September 18-20, 2017, 9:00am-4:00pm
Location:          Teaching lab 0.A.06, MPI for Developmental Biology
Tutor:               Christian Feldhaus, Aurora Panzera
Register by:    September 12, 2017

 
Level: beginners
Content In the light microscopy courses you will get knowledge about microscopy related topics with the aim that you understand the principles behind microscopic techniques and are able to
a) plan and perform experiments and
b) interpret and analyse your data correctly.
This will be achieved by a mixture of lectures, demos and hands-on practical sessions. However, to be able to practically work with a specific instrument you need to ask for a personal introduction/ training on that instrument.

The basic light microscopy course is an introduction to light microscopy. It covers standard transmitted light techniques like brightfield, phase contrast and DIC as well as fluorescence and confocal microscopy. Apart from that, people will be introduced to the basics of digital image acquisition and analysis. For more detailed information please click here
 
Introduction to Python Programming for Bioscientists
Date:                October 17, 19, 24, 26, November 2, 7, 9, 2017, 9:00am-12:30pm
Location:          Teaching lab 0.A.06, MPI for Developmental Biology
Tutors:             Jens Bassler, Mathew Divine (University of Tübingen), Andreea Dreau, Lukas Zimmermann (University of Tübingen) and others
Register by:      September 15, 2016
 
Level: any
Content: The goal of this course is to introduce Python programming as a versatile tool for scientific data analysis. Individual topics covered include
1. Tell your computer what to do (he's quite gullible)
2. Work with data — read that CSV!
Note: The course consists of alternating tutorials and homework. You must be prepared to spend at least 4 hours every week doing exercises on your own. All homework is due at midnight the day before the next session.

 
Using the Rosetta Algorithm for Predicting Protein Structure
Date:                November 3, 2017 10:00am-12:00noon and 1:00pm-5:00pm
Location:          Seminar room 0.A.01, MPI for Developmental Biology
Tutor:               Hongbo Zhu, Andre Stiel
Register by:      October 15, 2017
 
Level: beginner, basic Linux knowledge is required
This course will start with a general introduction to Rosetta software. Then we will demonstrate Rosetta programs for 
1)     Protein optimization/design with rigid backbone structure
2)     Protein backbone optimization
3)     Enzyme design and ligand docking
4)     Protein loop modeling
Participants will learn to run simple Rosetta tasks using these programs. Bring your laptop, basic Linux knowledge is required (contact instructors if you are not sure). If you do not have a laptop, you may request one for use during the course.
 
Introduction to Molecular Visualization with PyMOL
Date:                December 8, 2017 9:30am-12noon
Location:          Teaching lab 0.A.06, MPI for Developmental Biology
Tutor:               Thomas Holder, Schrödinger
Register by:      November 15, 2017
 
Level: beginners
Visualization is a key aspect in structural biology to study and present 3D molecular data. PyMOL is a powerful molecular visualization tool for making high quality figures and movies. This course covers the basic concepts of PyMOL like the graphical user interface, how to make publication quality figures and how to do structural alignments.

Bring your laptop. If you do not have a laptop, you may request one for use during the course.
 
Moviemaking with PyMOL 
Date:                December 8, 2017 1:00pm-3:30pm
Location:          Teaching lab 0.A.06, MPI for Developmental Biology
Tutor:               Thomas Holder, Schrödinger
Register by:      November 15, 2017
 
Level: advanced
In structural biology, animated movies are an excellent tool when it comes to communicating a mechanism or a story to an audience. This course teaches how to create molecular animations with PyMOL. It covers camera animation, moving individual molecules around, morphing between conformations and playing through trajectories.

Bring your laptop. If you do not have a laptop, you may request one for use during the course.

Advanced Skills Workshops

Your Final Year as a PhD Student
Date:                October 26, 2017, 1:00pm-5:00pm
Location:          Seminar room 0.A.01, MPI for Developmental Biology
Tutor:               Dagmar Sigurdardottir
Register by:      October 15, 2017
 
Level: advanced
Content: The final year of your PhD, when finishing up in the lab, getting your research published, writing your thesis and planning your career all need to be dealt with at the same time, can become easier when you apply standard project and time management techniques. We will identify requirements, investigate resources, define deliverables and set time lines. Also included is detailed information about the formal requirements for the thesis and defense.
 
Teamwork and Leadership in Academia
Date:                November 9,10, 2017, 9:00am-5:00pm
Location:          Conference room, Max Planck House
Tutor:               Sanja Stevic, GolinWissenschaftsManagement, psychologist and certified coach
Register by:      October 15, 2017
 
Level: any
Content: In this workshop participants will be introduced to the most important leadership styles and techniques and will acquire knowledge of the methodical approach to leadership tasks. The following topics will be covered: 
  • Basics of team work & leadership: An overview of leadership tasks and styles 
  • My leadership profile: Stocktaking of my key skills 
  • Ambiguous hierarchies: What does leadership mean in academia? 
  • Manager-employee discussions as a leadership tool: Setting common objectives 
  • Role change: Staff member – colleague – boss 
  • Team work & leadership competencies: My next steps

Career Development Workshops

Career Planning for Bioscience PhDs
Date:                Oct 12, 13, 2017, 9:00am-5:00pm
Location:          Conference room, Max Planck House
Tutor:               Dagmar Sigurdardottir
Register by:      September 15, 2017
 
Level: any
Content: In this workshop we will first analyze what a Bioscience PhD means outside the academic world. Then you will discover your professional strengths and personal preferences, create career visions, do a reality check and come up with the next steps you can take to make your career dream come true.
 
From Basic Research to Market
Date:                Nov 30, 2017, 9:00am-5:00pm
Location:          Conference room, Max Planck House
Tutors:             Sebastian Meyer-Borchert and others, Max Planck Innovations
Register by:      October 15, 2017
 
Level: any
Content: In a combination of lectures and hands-on exercises, the following questions will be addressed:
  • Which discoveries/inventions are potentially interesting for commercial use?
  • How do patents protect inventions?
  • What are the steps from a patent to commercial use?
  • What are the options for realizing commercial use?
  • How do start-up companies work?
  • How do you write a business plan?