Know your competencies – Find Your Job: Job Search for Scientists (November 16 – 17, 2022)

Scientists have a lot of job options — but they are often not aware of them. This workshop will help you see more of the many opportunities there are on the German labour market. You will learn to take the different steps involved in a successful job search: in particular, to be aware of your competencies, skills and knowledge and to build your career strategies based upon them.

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How to write a convincing job application – how to make it in the job interview (February 15 – 16, 2023)

Scientists make a lot of mistakes as soon as they start to apply outside science. This workshop will help you to write a convincing application and to be successful in the job interview.

Continue reading “How to write a convincing job application – how to make it in the job interview (February 15 – 16, 2023)”

Know your competencies – find your job: Job Search for Scientists (November 16 – 17, 2022)

Scientists have a lot of job options — but they are often not aware of them. This workshop will help you see more of the many opportunities there are on the German labour market. You will learn to take the different steps involved in a successful job search: in particular, to be aware of your competencies, skills and knowledge and to build your career strategies based upon them.

Continue reading “Know your competencies – find your job: Job Search for Scientists (November 16 – 17, 2022)”

Insights behind the CV (January 14, 2022)

You are warmly invited to join the informal career talk by our PI Maria Ott! In this workshop series, successful scientists share their experiences as a woman in natural science and tell the story behind their official CV. After the talk there will be enough time for informal discussion and networking.

Target audience are (female) natural scientists from our university and related institutes.

Date: January 14, 2022
12.30-14.00
hybrid: VSP 1, room 0.04 and via zoom

3G only: vaccinated, recovered or tested! + FFP2 mask

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

Aims

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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Effective Presentation (January 13 – 14, 2022)

Science is mostly production of high quality data. However, presentation of data is arguably of similar importance: after generation of results, you want to convey the information to your fellow scientists, be it in the form of talks and posters at conferences or in manuscript for great publications. Presenting for the lay public is of outstanding importance not only to get understood but to get a job.

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