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InGrA Program 2021

10. Sep 2021

Open (Omics) Data in the life-sciences (October 13, 2021)

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Webinar description

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Please ask specific questions via Etherpad form before the webinar. These will be answered during the webinar.

Date, time and format

  • Date and time: October 13, 2021 from 1-2 pm
  • Please join the webinar via MLUconf
  • Ask specific question in advance via Etherpad form
[ Read On … ]

26. Aug 2021

Tips for publishing your research results online (October 20, 2021)

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Webinar description

In the first part of the webinar the Open Science Team – ULB will present the publications services at the ULB. In the second part, other important issues to consider when publishing your results such as legal aspects, data ownership, rights management and licensing attribution of your research outputs will also be discussed. Attend this seminar if you want to inform yourself about these important issues but also if you wish to learn more about current affairs. We’ll be reporting on: the state of the DEAL negotiations, the different publication modalities offered by publishing companies, what is predatory publishing, and what you need to know when publishing in Internet and via social media. Don’t miss this chance to ask all your questions to our experts!
Please ask specific questions via Etherpad form before the webinar. These will be answered during the webinar.

Date, time and format

  • Date and time: October 20, 2021 from 1-2 pm
  • Please join the webinar via MLUconf
  • Ask specific question in advance via Etherpad form
[ Read On … ]

26. Aug 2021

Data Protection: Theory and Practice (October 6, 2021)

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Webinar description

The aim of this webinar is to address the most important data protection aspects in the context of research and academic projects. In collaboration with colleagues from the legal department of the MLU an overview of the legal framework of the General Data Protection Regulation (GDPR) and other basic regulations will be offered. The Open Science Team – ULB will also provide advice on how to anonymize or pseudonymize quantitative and qualitative datasets, and some practical examples on how to write a consent forms for projects in which interview data are planned. Join us in this webinar and take the opportunity to ask any questions you may have on these matters.
Please ask specific questions via Etherpad form before the webinar. These will be answered during the webinar.

Date, time and format

  • Date and time: October 6, 2021 from 1-2 pm
  • Please join the webinar via MLUconf
  • Ask specific question in advance via Etherpad form
[ Read On … ]

26. Aug 2021

A Primer on Research Data Management (September 29, 2021)

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Webinar description

Whether you are an experienced postdoc or a PhD student going through the first stages of your research project this webinar will help you understand the crucial concepts of research data management (RDM) and identify common problems and hurdles in scientific practice.

  • What is FAIR data,
  • what are the current funders’ requirements regarding RDM in Germany and Europe, and
  • what are the benefits of a good research data management strategy

are some of the topics that will be covered. Whilst Open Science Team – ULB will provide an overview of the RDM activities and support offered at the MLU and other institutions, your views on RDM are very important to us too. So feel free to join the discussion on this day. 
Please ask specific questions via Etherpad form before the webinar. These will be answered during the webinar.

Date, time and format

  • Date and time: September 29, 2021 from 1-2 pm
  • Please join the webinar via MLUconf
  • Ask specific question in advance via Etherpad form
[ Read On … ]

26. Aug 2021

Open Science – an introduction (September 22, 2021)

Written by

Webinar description

Join this first webinar to explore the main concepts and learn more about Open Science, Open Data and why this is important. Use this chance to let the Open Science Team – ULB know what are your requirements and the areas where you may need support. We will take time to discuss these topics but also to outline the different levels of support and activities in the research landscape in Halle.
Please ask specific questions via Etherpad form before the webinar. These will be answered during the webinar.

Date, time and format

  • Date and time: September 22, 2021 from 1-2 pm
  • Please join the webinar via MLUconf
  • Ask specific question in advance via Etherpad form
[ Read On … ]

6. Aug 2021

“The Art of English Academic Writing” for Natural Scientists (September 8, 9 and 28, 2021)

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Aim and Content

The workshop aims at improving non-native English speakers’ academic writing skills by highlighting typical features and composing elements commonly applied and expected by native speakers of English. Participants will be equipped with a textbook written by the trainer that covers all the features introduced during the sessions, they will have ample opportunity to ask individual questions, and they will receive immediate feedback on their own writing. During the workshop we will

  • reflect on how the character of the English language influences the Anglo-Saxon academic writing style and identify subsequent features in academic texts
  • highlight pitfalls non-native speakers of English are vulnerable to when writing in English and introduce straightforward strategies to avoid them
  • present techniques for developing a fluent and lively academic writing style
  • introduce resources, aids, and methods to enlarge and retain vocabulary
  • edit text passages written by the participants
[ Read On … ]

1. Jul 2021

How to Master a Job Interview (August 2 and 5, 2021 | online)

Written by

Content

  • Preparation and phases of interviews
  • Answering trick questions 
  • Salary negotiation strategies
  • Determination of salaries
  • Self-presentation practice in small groups
[ Read On … ]

3. Jun 2021

How to Write a Persuasive Job Application (July 15, 2021 | online)

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For many scientists, writing job applications tends to be quite difficult, especially for jobs beyond the academic system. In fact, misapprehensions and mistakes in the application dossier often prevent them from securing jobs they are perfectly suited for. This workshop will help you write a convincing application.

Target audience

Doctoral students, PostDocs

Topics

  • How to prepare and write an application for jobs in Germany?
  • What distinguishes applications in academia from those in other sectors (industry etc.)?
  • What are typical mistakes? How do I avoid them?
  • How do I present my competencies in a convincing manner? How do I develop a storyline that fits the job?
  • How do I make an unsolicited application? 
  • New trends in application procedures
  • What is different in other countries? – Some hints and points for discussion
[ Read On … ]

10. May 2021

Know your competencies – find your job (June 21 and 22, 2021 | online)

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Scientists have lots of job options, but are often not aware of them. This workshop will support you to see more them on the German labour market. You will learn to go the different steps of job search: to be aware of your competencies, skills and knowledge and to build your career strategies based on them.

Target audience

Doctoral students, PostDocs

Topics

  • My competencies, skills and knowledge: How to be aware of them?
  • German and international labour markets: How markets influence job search
  • Private or public sector: Where should I go to?
  • Until when should I leave academia, if I prefer to stay but I am not successful enough?
  • Where do I find jobs for scientists – jobs that suit me?
  • Career search strategies
  • How networks help to get jobs soon
  • How to read job ads?
  • What does “career” mean? How to plan and how to develop my career
  • Life goals and career paths – how to make them fit together?
[ Read On … ]

5. May 2021

Introduction to Python (June 28 and July 1, 2021 |online)

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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.

[ Read On … ]

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