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 Reminder: Call for Workshop Topics // Deadline: July 27

In order to adapt the course offer of the Graduate Center to your wishes and needs as much as possible, I would like to ask for your suggestions for desired topics twice a year.

In the last newsletter (News #37) I published the first call of this year for doctoral and postdoctoral researchers.

If not yet done, please fill this form.  You can choose one or more topic(s) from the suggestions and also indicate one or more topics you are interested in as a free text response.

If there are enough interested people, a course/workshop on that topic will be organized.

Please participate by filling out the form by 27 July. I look forward to your responses!

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Microbiome Network Meeting // registration deadline: July 1

Free of charge symposium on July 20 for doctoral students and postdocs working with microbiome science (human, animal or environmental). Organized by PhD students and postdocs for peers to increase the network of microbiome researchers in Berlin.

Please register until 01.07. via this Link: https://docs.google.com/forms/d/e/1FAIpQLSeSNIryohysogZsThmh-BbtYfwH_pYg-y7vsTCH0saJgAcTSw/viewform

You can find detailed information in the attached flyer.

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RoKoCon 2022 // registration deadline: July 1

On behalf of the organising team, we would like to invite all interested students of the Dahlem Research School to the RoKoCon 2022, taking place between 29-30th of September in Berlin at the Robert Koch-Institute. The RoKoCon is an event organised by doctoral students for doctoral, masters and bachelor students, as well as early-stage post-doc researchers. Our goal is to connect students within the Robert Koch-Institute and our partner institutions, and to give young researchers a platform to present their work.

The conference will cover a wide range of topics from epidemiology/public health, bioinformatics/computational biology, immunology/virology and microbiology.  We are also inviting expert guest speakers to give a presentation about their research.

At the moment we are planning an in-person event. Should the circumstances change due to the reintroduction of strict social distancing rules, we will organise a digital event. However, we are hopeful that after two pandemic years and two digital RoKoCons we can finally host the event in person.

If you are interested in participating, please register via the link: https://terminplaner4.dfn.de/qkZuKKs1PMRFDQwZ. The registration deadline is 01.07.2022. Please indicate whether you would like to present a poster or a talk. It is worth registering as soon as possible, as the "early birds" will receive a special gift during the event!

The RoKoCon2022-Team

Esther Behrsing, Amina El Houari, Gamze Aktuna Balaban, Julia Patricia Ramos Calderón and Maria Trofimova

Contact: rokodoko@rki.de

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Applied Statistics Online Course // register until July 3

The course will take place on July 5-6-7 2022, from 10am to 4pm including breaks. It will be entirely online and live. The event won't be recorded.
The course covers the fundamentals of descriptive statistics, parameter estimation, and hypothesis testing for means, proportions and medians, linear regression, non-parametric statistics, goodness-of-fit tests, and ANOVA. Angelo Valleriani will show how to solve about 40 practical exercises on the various topics covered.

At the end of the course, you will know which approach is best for your data, and you will be able to visualize and analyze your data independently. People attending the course will receive all slides and several Jupyter notebooks (Python) with the data of the exercises and the solutions.
For more details, you can get a short description of the course here.
Registration is compulsory in order attend the course. Deadline for registration is July 3 at 10pm CEST. Only registered people will get the link to the lectures and to the materials. Attendance is free of charge.

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Coffee Lecture der Universitätsbibliothek

Am 13.7., 14 Uhr s.t. findet eine Coffee Lecture des Teams der UB statt zum Thema „Wissenschaftliches Publizieren – kostenfrei?“ https://www.fu-berlin.de/sites/ub/ueber-uns/termine/coffee-lecture2.html

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Workshop Artificial Intelligence on July 6

If you always wondered what Artificial Intelligence (AI) is all about and what you could do with it, you can join the course “Deep Science Futures: An Entry-Level Workshop for Producing a Better Tomorrow with Artificial Intelligence” on July 6, 2022. Visit the AI Campus in Berlin-Mitte and explore how AI can be brought to good use for society and individuals and could profit your own research.

You do not need any prior knowledge on AI, coding etc. and all disciplines are welcome! Our colleagues from K.I.E.Z., the Artificial Intelligence Entrepreneurship Center, will provide entry-level methods for assessing projects for Machine Learning and will walk you through your first “no code” implementation. Join us in shaping and reflecting this new wave of AI-based innovations. You can learn more and sign up for the workshop at https://www.drs.fu-berlin.de/node/68268.

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DRS ProTransfer on 22.-26.08. + 09.09.

Do you want to know more about entrepreneurship and how to turn your research into a business idea? You can now apply for DRS ProTransfer 2022 (August 22-26, 2022, online follow-up on September 9, 2022) where you will join colleagues from all disciplines to assess how your ideas and research can be used for more than publications. More information can be found at https://www.fu-berlin.de/en/sites/drs/offers/pro-transfer/index.html, applications are possible until August 8, 2022.

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Online Workshop “Introduction to data analysis with R” // 29-31 Aug + 1 Sep / Registration deadline: 1 Aug

Course offer by the Graduate Center: This workshop offers an introduction to data analysis with R with a focus on statistics. In 4 workshop days we will cover the following topics:

• Introduction to R and R Studio
• Basics of R Programming
• Data analysis using the tidyverse packages (preparing, filtering, grouping, re-organizing, plotting, …)
• Some common statistical analyses with R (descriptive statistics, tests, linear models)

The main goal of this workshop is to give you the basic skills that you need to start analysing your own research data with R. You will learn a simple R workflow for data analysis, starting with reading, preparing and summarizing research data, performing simple statistical analyses and plotting the results. Starting from this knowledge basis, you can confidently expand your R skills in a direction that is most useful for your own research work.

Who is the course for? Doctoral researchers registered at the BCP department, Postdoctoral researchers at the BCP department

When?         Monday, 29 August, to Thursday, 1 September 2022, 9 am – 4 pm

Where?        Webex Online Course (Please note that a video camera and a microphone are necessary for this course.)

Registration:  If you would like to attend the course, please register here by 1 August 2022. The registration is binding. Participation in the course is free of charge for all (post-)doctoral researchers at the BCP department. Please note the number of participants is limited.

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Online Workshop “Reproducible documents with {rmarkdown}” // 13 & 14 Sep, 15 Sep optional

The {rmarkdown} package provides an ecosystem for authoring documents that contain text as well as R code and its output. It is a very powerful tool for researchers using R for data analysis because it directly integrates the analysis results into reports, research papers, presentation and many other formats. All this without copy pasting, therefore creating a completely reproducible workflow.
The main goal of this workshop is to give you the basic skills that you need to start writing your own reproducible documents according to the needs of your research. Starting from this knowledge basis, you can confidently expand your {rmarkdown} skills to more complex document types and formats.

Who is the course for? Doctoral researchers registered at the BCP department, Postdoctoral researchers at the BCP department; this workshop is for people with prior experience in R and RStudio. Ideally, you have already completed an introductory R course.

The registration for this workshop will open in August and will be announced in the next newsletter!

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