[BuildMoNa] ATM: Deep Learning/Machine Learning (September 16-17, 2021)


The course aims at two aspects of machine learning.

The first goal is an introduction to statistical mechanics of learning, which aims at describing the typical learning behavior of neural networks, discussion of the generalization performance of strongly overparametrized neural networks. Information field theoretic description of ultrawide neural networks. The second aim is to give an introduction to machine learning techniques and its applications in natural sciences. It will include fields of image recognition, time series analysis and reinforcement learning with examples and applications of neural networks in fluid mechanics.

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Introduction to mass spectrometry (October 5-7, 2021)


This advanced training module addresses doctoral students in chemistry, physics, biophysics, and related fields without much prior knowledge or experience in mass spectrometry. It introduces the basic theoretical and technical concepts of mass spectrometry and will provide hands-on experiments in the labs.

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Introduction to Python (October 27-28, 2021)

In recent years Python has become more and more popular. According to the Tiobe Index it is about to overtake Java and to be the number two in the list of the most important programming language in the world. In the fields of numerical programming and Machine Learning, Python is the leader. It is not just easier to learn than other languages but programs in Python can also be faster written and are characterized by their easy readability. One of the reasons for this are the user-friendly data structures and the easy to grasp syntax.

Date: October 27+28, 2021 (9.00-17.00)
Location: Online workhop via zoom
Group size: 12 (joint workshop with Leibniz Institute for Plant Biochemistry)

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Gain Clarity on your Next Career Steps (September 30, 2021)

Webinar on how to transition successfully after a PhD/Postdoc
Date: September 30, 12.00-13.00
Location: Zoom

Do you ever ask yourself

  • What am I going to do after PhD/ Post-doc/ etc?
  • Should I stay and pursue an academic career?
  • Should I go and pursue one of the 100s of “alternative” careers outside of academia?
  • What would be a good fit for me?
  • Where do I start the process of career transitioning?
  • Where do I find the positions?

Then join us for the webinar!

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Workshop on Data Visualization (November 2, 2021)

Scientific figures transport most of the information and arguments in presentations, posters as well as research articles. We will discuss the general requirements on scientific figures, cover the basics on good graphic design and provide practical guidelines for compelling plots.

date: November 2, 2021
time: 15.00-17.30
lecturer: Dr. Kerstin Blank (Max Planck Institute of Colloids and Interfaces)


    Membership status
    iRTG memberAgripolyBEAMiRTG of SFB/TRR 227yDivexternal

    Alumni meeting (August 28, 2021)

    Our annual alumni meeting will take place on Saturday, August 28, 2021. We will meet in Moritzkunstcafé (Halle) from 6 p.m. The alumni meeting aims at the establishment of links and to foster the exchange between former and current iRTG members. Former members will talk about their career steps in industry or academia.

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