R has become a leading statistical programming language in data science and statistics. The R software is free, highly extensible, and allows to easily produce publication-quality plots. The aim of this course is to equip participants with the basic skills to effectively use the software R, embedded in the user interface RStudio. These skills will cover data import, processing and data exploration, graphical representations with ggplot2, basic concepts of statistical inference and linear regression. All topics will be demonstrated in working examples and practiced with hands on examples.
In the first two days we are going to teach the basic functionality of R, RStudio, and ggplot2. Day three and four are dedicated to the application of statistical tests, which will be extended to linear mixed-effects models.
Specific Topics
Part I (March 11 and 12)
Introduction to R and RStudio
Data types (vectors, data frames, matrices, lists, factors)
“Scientific integrity forms the basis of trustworthy research,” states the preamble to the DFG’s Guidelines for Safeguarding Good Scientific Practice.
In his interactive workshop, Dr. Michael Schöner will address what scientific integrity or scientific misconduct means in this context and show that there are gray areas between the two extremes, using the most common problems in questions of authorship, research data management (also related to diversity and gender variables) and supervision.
As a scientist, your reputation is your personal brand. You’re going to have one whether you choose to influence it in a particular direction or not. How others perceive you stems largely in part from your research results, your behaviors, and your overall actions. Just as in the business world, your personal brand is what defines how successful you can become, and it’s vital that you spend a portion of your resources to cultivate and protect it. In this workshop we will explore networking as an important aspect of those efforts.
Take-aways
Exploring your ‘presence’ and receiving feedback from the group
Developing a workable elevator pitch
Increasing your self-awareness
The opportunity to examine critically both your professional identity and your value proposition
Leaving academia and looking for a job in the industry is an important and sometimes difficult step. This intensive course enables you to go through a quickly and successful job search process. It consists of live webinars and self-learning videos.
Content
The seminar provides knowledge on:
Determination of salaries
Preparation and phases of interviews
Answering interviewer questions
Salary negotiation procedure
Self-presentation practice in small groups
Typical working conditions for academic job starters
Visa conditions for job search and employment (only for foreigners)
German cultural rules at work (Germans are welcome)
Specific Topics
Subject “Salaries”
In a live webinar we will talk about typical salaries for job starters and criteria which can influence the salary. We practice a salary calculation method you can use to determine a salary for a specific position. At the end various research options are introduced which you can use to find out more about a company’s internal salary structure.
Leaving academia and looking for a job in the industry is an important and sometimes difficult step. This intensive course enables you to go through a quickly and successful job search process. It consists of live webinars and self-learning videos.
Content
The seminar provides knowledge on:
Ideas for possible positions
Active and passive job search strategies
Content and design of an application
Individual application feedback in small group
Specific Topics
Subject “Job Search”
In the first seminar session, we discuss which competences are often acquired during a doctorate and their relevance for companies. You find out more about job profiles in the industry which might be interesting for you and how you can find other possible jobs. In a following self-study course, you get to know various options of active and passive job search strategies, incl. job databases and activities to come into contact with employers. Furthermore, you understand how to plan and organize your individual search for future employments.
Here you find an overview of workshops of InGrA and HR department Ref 3.2 in 2024. These workshop are shaped to the needs of doctoral students and postdocs at MLU. Workshop language of InGrA and Ref 3.2 is English and German, respectively. InGrA workshops are designed for all doctoral students independent of their mother tongue. With English workshops most of scientists in an early career phase can be addressed. Please feel free to choose the workshops you are comfortable with and follow the links for further details and registration.
Das Doktorandenkolleg „Ethik und gute Unternehmensführung“ organisiert vom 4.-6. März eine Frühjahrsakademie in Wittenberg.
Kurzbeschreibung
Du hast Lust mit Expert*innen zu erkunden, welche Auswirkungen die Digitalisierung auf Werte wie Menschenwürde, Solidarität und Gerechtigkeit hat und wie diese verwirklicht werden können? Du interessierst dich dafür, wie führende Unternehmen diese Fragen angehen, wie z.B. Mercedes-Benz diese Werte in der Unternehmenspraxis umsetzt?
Dann bewirb dich jetzt auf einen der 20 Plätze der Frühjahrsakademie 2024 am Wittenberg-Zentrum für Globale Ethik (WZGE)!
Die Frühjahrsakademie bietet Plattform für Student*innen und Doktorand*innen, um neue Perspektiven auf das Thema „Digitalisierung, Ethik und Wirtschaft“ zu gewinnen.
The relationship between doctoral researchers and their supervisors influences the pathway and success of a doctoral project and is a crucial factor for the start of an academic career (Ives & Rowley 2007). It is thus all the more important that both parties deal with the perspective, expectations and needs of the other side.
With the project “What supervisors want” InGrA sheds some light on the relationship between supervisors and their doctoral students. The project was carried out in 2023.
To provide information and guidance for doctoral students we have approached supervisors in four departments at MLU. In semi-structured interviews we asked them about their perspective and experiences in the supervision of doctoral students. This was preceded by an online survey in which doctoral researchers had the opportunity to ask their questions and thus helped to shape the interview guidelines. Enjoy the reading. Hopefully, we can broaden your perspective on doctoral supervision and What supervisors want.
