Past events
Soft-Skill-Courses of the TRR259
- 2025-01-24T09:00:00+01:00
- 2025-01-24T16:00:00+01:00
24
FridayProject Management for Scientists – Part 1
Part 1: Planning and structuring of my research project In this part of the workshop, you will develop a project plan for your research project and learn how to structure it successfully. You will learn the basic methods for controlling a project and apply them to your own research project in practical exercises and discussions. In addition, you will learn how to use your time more effectively for the research project and the associated publications in addition to the other tasks as a research assistant. You create a roadmap and develop initial approaches on how to communicate better with your colleagues and with stakeholders in your project. More focus, clear priorities and better organization of your work will be the result. The training focuses on your individual research projects and areas of life.
- 2024-10-30T17:00:00+01:00
- 2025-10-31T18:00:00+01:00
30
WednesdayE-Learning: Biometrie
The TRR259 iRTG offers access to the self-paced E‑Learning units "Biometrie: Einführung in statistische Fragestellungen vor dem Versuch". In this course you will learn how to plan the sample size and set up null and alternative hypotheses: -Legal framework, animal experiment application -Statistical resolution and scattering -Standard deviation and standard error -Formulation of statistical hypotheses, wrong decisions, 1st and 2nd type errors -Sample size -Application examples for sample calculation
- 2024-10-17T09:00:00+02:00
- 2024-10-18T15:30:00+02:00
17
ThursdayBasic Microscopic Image Processing and Analysis
- Short Introduction to Fiji / ImageJ and basic functions - Overview over proper scientific image file formats, metadata, bit depth - In-depth practical introduction to pre-processing - Automatic uneven lighting correction - Understanding of image filters and their use cases for improved object detection - Automatic background subtraction algorithms to reduce unspecific signal - Object segmentation with automatic intensity thresholds (semantic segmentation) - Individual object labeling (instance segmentation) - Basic insight into some user friendly machine learning plugins in comparison to classical segmentation - Optimization of segmentation with post-processing methods - Quality control of segmentation results - Different basic automatic analyses (object counting, measurements, shapes, intensities) - Optional dependent on time: How to deal with 3D data in image analysis - Short introduction to macro recording for automation
- 2024-09-23T09:00:00+02:00
- 2024-09-24T15:30:00+02:00
23
MondayScientific Image Editing and Figure Creation
• Proper editing of scientific images for publications and good scientific image handling practice • Understanding all aspects of digital images (e.g. file formats, metadata, bit depth, histogram) • Proper merging of fluorescent channels and use of pseudo-colors and calibration bars • Proper application of 2D projections from 3D data • Optional: short glance on 3D reconstruction options in Fiji/ImageJ • Scaling images to units (e.g. µm) via metadata and adding scale bars • Uneven lighting correction methods for visualization • Background correction methods • Proper contrast adjustment respecting good scientific practice limits • Avoiding data alterations when exporting images for publication figures • Introduction to the vector graphic software Inkscape for efficient publication figure creation • Creating example figures
- 2024-09-17T09:00:00+02:00
- 2024-09-17T15:00:00+02:00
17
TuesdayResilience & well-being in academia
Academia is an ultramarathon that we try to run as a sprint. We quickly run out of time and energy and can experience waning motivation, burnout, and a sense of failure. Although the environment certainly plays a role, we as individuals can address the way we approach academia to buffer us against stress and burnout, worry and fear, and the toxic competition we are often surrounded by. A healthier approach to research is possible! • We address the self-sabotaging thought processes that underlie perfectionism, imposter syndrome • or worry and learn to reframe them. • We identify maladaptive coping strategies (e.g. avoidance and procrastination) and explore more • effective (and healthier) strategies. • We discuss the need to fill your bucket and why balance in our lives is essential to creativity, insight, • motivation, and our ability to deal constructively with feedback and rejection.
- 2024-04-08T09:00:00+02:00
- 2024-04-09T13:00:00+02:00
8
MondayStatistics for Life Scientists
- Principles of clinical trials - Data from a statistical perspective: Data types and scales, Data structures, Data management, Setup of data, Validation, Missing values - Continuously scaled data: Description and Estimation: Description of continuously scaled data, Practical aspects: Normal distribution, transformations, Estimation of parameters of distributions, Standard error and confidence interval (SE and CI), Statistical tests using CI, Tests of difference vs. test of equivalence- Hypothesis testing: Principles of statistical hypothesis testing, Multiple testing, Sample size , Effect size and p-values, CI and p-values, One- and two- group tests (continuously scaled data) - ANOVA Sample datasets like sample papers from the working groups or recent experiments can be submitted to be analyzed during the workshops.
- 2024-02-22T09:00:00+01:00
- 2024-02-23T17:00:00+01:00
22
ThursdayGetting Started: Mindset, Tools & Processes for a successful PhD
If you take the time to think about a smart approach early on, you are likely to reach your objectives faster and achieve superior results. This workshop focuses on the critical elements for a successful doctoral journey: Which mindsets, tools, and processes make a real difference on the way to a PhD? We concentrate on three areas: The efficient organization of tasks and notes, the productive communication with supervisors and the research community, and the structured reading and writing of academic papers.
- 2023-04-27T09:05:00+02:00
- 2023-04-28T17:00:00+02:00
27
ThursdayThesis Defence Training
In their thesis defence, doctoral students have to present their research to a board of examiners and then answer critical questions. This course is designed to prepare doctoral students optimally for this situation. First part: practical tips for their introductory presentation: how to structure the presentation, how to build up the central argument, what language to use, etc. Second part: problems that can occur during the discussion. Various types of difficult questions and discuss strategies to respond to them. Third part: participants get the chance to practice their presentation and to receive feedback from the group and from the trainer.
- 2023-04-03T09:00:00+02:00
- 2023-04-03T16:00:00+02:00
3
MondayStrategic application for jobs outside academia
Your dissertation is slowly nearing its end and it is time to think about what comes after. This workshop is designed for individuals who have already been informed about possible career paths after PhD, who have already considered their suitability and motivation with regard to the various career options, and who now want to actively pursue their further career path outside academia. The training is divided into 3 parts Part 1: Written application Part 2: Individual assignment Part 3: Job interview and presenting yourself Second workshop day: April 18, 2023 from 9 am - 4 pm
- 2023-02-27T10:00:00+01:00
- 2023-02-27T18:00:00+01:00
27
MondaySpeaking with the hands – How your body shapes communication
When we speak, we not only use our voice but our whole body. The workshop offers the possibility to explore the role of gestures and other bodily movements in communication and shows how and why our body shapes communication. Through video analyses in combination with exercises for the voice and the body, the workshop sharpens the participants observation for these aspects and provides the basis for a better understanding of communication.