Contact

Dr. Ferdinand Esser
Coordination / Managing Director

Christine Steinseifer-Jeske
Coordination / Managing Director

Oili Tsakmakis
Administration

Keti Antadze-Tamminga
Administration

Sophie Barlage
Student assistant  

Room W3 1-138

Phone.: +49 (0)441 – 798 3648/49

Contact options:
via e-mail and via phone from Mon-Thur 09:00-12:00

New: Online office hour on thursdays from 10:00-11:00 (by appointment) and individual appointments on request

Contact

Dr. Ferdinand Esser
Coordination / Managing Director

Christine Steinseifer-Jeske
Coordination / Managing Director

Oili Tsakmakis
Administration

Keti Antadze-Tamminga
Administration

Sophie Barlage
Student assistant  

Room W3 1-138

Phone.: +49 (0)441 – 798 3648/49

Contact options:
via e-mail and via phone from Mon-Thur 09:00-12:00

New: Online office hour on thursdays from 10:00-11:00 (by appointment) and individual appointments on request

NEWS

Due to the current situation, we would like to ask you to proceed as follows:

  • For questions and other OLTECH related issues, please contact us via e-mail!
  • If you have any documents for us, please throw them in our OLTECH letterbox or the university house mail!
  • During our office hours we are available for you via e-mail!

Thank you for your understanding!

Graduate School Science, Medicine and Technology - OLTECH

Graduate School Science, Medicine and Technology - OLTECH

Graduate School Science, Medicine and Technology

The aims of the Graduate School OLTECH are to train doctoral candidates in an international and interdisciplinary context. They learn to develop inventive research questions and new approaches to solving problems, to plan and manage projects and to present the results of their research. The early-career researchers learn about the relevant models and hypotheses in their field of science and can practise discussing them.

The curriculum combines several disciplines ensuring that doctoral researchers are able to integrate their scientific skills into a broader context. All curriculum elements serve to enhance the scientific independence and creativity of the doctoral candidates.

Membership in OLTECH is voluntary. It offers many advantages and opportunities. At the end of the doctoral period, members also receive a transcript of records, an overview of all achievements or a final certificate confirming the successful completion of a doctoral course or programme (according to examination regulations).

OLTECH - NEWS

OLTECH Network of Alumni and Active doctoral candidates

We would like to invite OLTECH PhDs and former OLTECH members to join the LinkedIn group "OLTECH Network of Alumni and Active doctoral candidates". With the group we want to bring together current OLTECH PhD candidates with former OLTECH members, provide opportunities for networking, exchange and news.

OLTECH in the university newspaper UNI INFO

Travel grants for 2022

NEW exception: Applications  for travels from July to December 2022 can still be handed in.

You can find more Information about OTECH travel grants here.

Next courses and events

Analysis, visualisation and statistics using R for Environmental Scientists

Analysis, visualisation and statistics using R for Environmental Scientists

Course Description:
This will be an introduction course intended to give students and doctoral researchers an overview and introduction to R applied to analysing environmental data, with specific emphasis on chemical datasets. The course will begin with a brief introduction to the R environment and basic function and then include an overview of statistical analyses that are valuable in environmental datasets. The doctoral researchers and master students will be able to use R efficiently and they will be able to improve their scientific work with the possibilities of R.

Tentative schedule with course content:

1.    Introduction to the R environment (R-Studio) 

  •  Projects handling
  •  Package management
  •  Data: Input / Output
  •  Workspace
  •  Installing and loading R packages, importing, manipulating, and exporting data.

2.    Pre-Processing and Data composition: Looking at the R data frame, cleaning up and compose data, dealing with missing data, data normalization, basic functions (mean and weighted mean, standard error, etc.)

3.    Visualizing Data in R.

  • ggplot
  • plotly
  • shiny    Scatter plots, bar plots, violin plots, etc. Interactive possibilities. 

4.    Data Reports and publishing with R markdown and Shiny.
        Reporting with markdown and Shiny.
5.    Basic Statistics and Statistical Analyses.
        Calculating and visualizing a PCA, PCoA, NMDS, ANOVA, linear models.
6.    Handling largescale server side data sets using the HPC-Cluster.
       Analyze and correlate large chemical data (e.g FT-ICR-MS).

Target group: Graduate level course, with specific aim at doctoral researchers and new master’s students who want to use R to analyse their data.


Requirements: All levels are welcome. Students should be familiar with basic concepts of data analysis. Students and doctoral researchers will need to bring a laptop with the current version of R and RStudio installed. It would be nice if the participant have already started to get familiar with RStudio.

Course instructors / Lecturers:
André El-Ama: andre.el-ama@uni-oldenburg.de
Priv.-Doz.Dr. Jan Freund: jan.freund@uni-oldenburg.de
Dr. Hannelore Waska: hannelore.waska@uni-oldenburg.de
Matthias Schröder: matthias.schroeder@uni-oldenburg.de
Dr. Ferdinand Esser: ferdinand.esser@uni-oldenburg.de

Time / Date / Format: 
Seminar is organised block wise at the following dates: 25.07., 26.07., and 27.07.2023 and 26.09., 27.09. and 28.09.2023.
Meeting time is 5 hours with 1 hours break. 10:00 – 15:00

Registration for the workshop via Stud.IP is required!


Room: W15 1-146 (ICBM building)

25.07.2023 10:00 – 28.09.2023 15:00

(Changed: 04 May 2023)  |