Easy to Read
For German
research institutions

Index
Easy to Read
For German
research institutions
Easy to Read
For German
research institutions
Easy to Read
For German
research institutions
Easy to Read
For German
research institutions
Easy to Read
For German
research institutions

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Research in Germany

Germany is a top destination for PhD students, postdocs, and senior scientists. The website "Research in Germany" helps you to find your way to Germany, to seek for PhD positions, research jobs or funding opportunities. It describes the German research landscape and helps you plan your career and life in Germany. Welcome to Germany - the Land of Ideas!

Eine Wissenschaftlerin justiert eine VR-Brille einer Probandin.

Jan Zappner

Why Germany

There are many good reasons for doing research in  Germany. It is one of the most innovative, stable and well endowed  research nations  and its universities and research institutions are among the best in the world. Values like freedom and diversity as well as social and ecological responsibility are considered important to ensure knowledge gain and societal progress.

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PhDGermany database

Find a selection of open PhD positions in Germany in the PhDGermany database!

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Freedom to cooperate

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Plan your Stay

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"Pathfinder" to your PhD journey

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New Skilled Immigration Act at a glance

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Current developments & news

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Here you will find a selection of the latest R&D news from German universities, non-university research institutes and industrial research facilities.

Photo: Marie Sünnemann

Soil ecosystem more resilient when land managed sustainably

Compared to intensive land use, sustainable land use allows better control of underground herbivores and soil microbes. As a result, the soil ecosystem is more resilient and better protected from disturbance under sustainable management than under intensive land use. Researchers from Leipzig University, the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig and other research institutions found that the total energy flux and the activities of so-called decomposers, herbivores and predators in the soil food web remained stable. They have just published their paper in the journal Global Change Biology.
Nov 19, 2024, 4:31:13 PM

Seven University of Cologne researchers among the most highly cited researchers worldwide
Annual ranking of ‘Highly Cited Researchers’ published as an indicator for outstanding research / University of Cologne represented by three biologists and four medical researchers
Nov 19, 2024, 4:21:34 PM

Predicting the mode of action of new anti-cancer drugs with AI
Plants, fungi and bacteria produce a variety of bioactives that alter cell metabolism, sometimes to the point of cell death.This makes them promising candidates for new anti-cancer drugs. Although a diverse range of bioactives exists, the development of new anti-cancer drugs is proving difficult, because of the time-consuming elucidation of their mode of action. Scientists from the Leibniz Institute of Plant Biochemistry and partners at the Martin Luther University Halle-Wittenberg have now taken a major step towards overcoming this hurdle. With their modern analysis of cellular metabolites and AI-based evaluation, they have successfully predicted the mode of action of new anti-cancer drugs.
Nov 19, 2024, 4:02:51 PM

Photo: Grit Walther

Drug resistant fungi spreading: Focus on Candida parapsilosis
The yeast Candida parapsilosis is emerging as a growing threat for hospitalized patients in a new study. A team led by Dr Amelia Barber from the Cluster of Excellence "Balance of the Microverse" at Friedrich Schiller University Jena and Dr Grit Walther from the National Reference Centre for Invasive Fungal Infections (NRZMyk) investigated an outbreak of multi-drug resistant hospital-acquired strain of this fungus. The researchers developed a new molecular detection method that can quickly and cost-effectively differentiate strains of C. parapsilosis. The results were published in The Lancet Microbe.
Nov 19, 2024, 3:17:05 PM

Peter Machnik

New Insights into the Evolution of Neurons in Vertebrate Brains
Assumptions that may seem self-evident are not always accurate when it comes to the evolution of vertebrate brains. Researchers at the University of Bayreuth have now demonstrated this by examining the largest neuron in the brains of blind Mexican cavefish. Their findings have been published in the prestigious journal PNAS.
Nov 19, 2024, 1:34:06 PM

Next step in light microscopy image improvement - New deep learning architecture enables higher efficiency
It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there is still room for increasing for example image contrast and resolution. Based on a unique deep learning architecture, a new computational model developed by researchers from the Center for Advanced Systems Understanding (CASUS) at HZDR and the Max Delbrück Center for Molecular Medicine is faster than traditional models while matching or even surpassing their images’ quality. The model, called Multi-Stage Residual-BCR Net (m-rBCR), was specifically developed for microscopy images.
Nov 19, 2024, 12:30:00 PM

Photo: Marie Sünnemann

Soil ecosystem more resilient when land managed sustainably

Compared to intensive land use, sustainable land use allows better control of underground herbivores and soil microbes. As a result, the soil ecosystem is more resilient and better protected from disturbance under sustainable management than under intensive land use. Researchers from Leipzig University, the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig and other research institutions found that the total energy flux and the activities of so-called decomposers, herbivores and predators in the soil food web remained stable. They have just published their paper in the journal Global Change Biology.
Nov 19, 2024, 4:31:13 PM

Seven University of Cologne researchers among the most highly cited researchers worldwide
Annual ranking of ‘Highly Cited Researchers’ published as an indicator for outstanding research / University of Cologne represented by three biologists and four medical researchers
Nov 19, 2024, 4:21:34 PM

Predicting the mode of action of new anti-cancer drugs with AI
Plants, fungi and bacteria produce a variety of bioactives that alter cell metabolism, sometimes to the point of cell death.This makes them promising candidates for new anti-cancer drugs. Although a diverse range of bioactives exists, the development of new anti-cancer drugs is proving difficult, because of the time-consuming elucidation of their mode of action. Scientists from the Leibniz Institute of Plant Biochemistry and partners at the Martin Luther University Halle-Wittenberg have now taken a major step towards overcoming this hurdle. With their modern analysis of cellular metabolites and AI-based evaluation, they have successfully predicted the mode of action of new anti-cancer drugs.
Nov 19, 2024, 4:02:51 PM

Photo: Grit Walther

Drug resistant fungi spreading: Focus on Candida parapsilosis
The yeast Candida parapsilosis is emerging as a growing threat for hospitalized patients in a new study. A team led by Dr Amelia Barber from the Cluster of Excellence "Balance of the Microverse" at Friedrich Schiller University Jena and Dr Grit Walther from the National Reference Centre for Invasive Fungal Infections (NRZMyk) investigated an outbreak of multi-drug resistant hospital-acquired strain of this fungus. The researchers developed a new molecular detection method that can quickly and cost-effectively differentiate strains of C. parapsilosis. The results were published in The Lancet Microbe.
Nov 19, 2024, 3:17:05 PM

Peter Machnik

New Insights into the Evolution of Neurons in Vertebrate Brains
Assumptions that may seem self-evident are not always accurate when it comes to the evolution of vertebrate brains. Researchers at the University of Bayreuth have now demonstrated this by examining the largest neuron in the brains of blind Mexican cavefish. Their findings have been published in the prestigious journal PNAS.
Nov 19, 2024, 1:34:06 PM

Next step in light microscopy image improvement - New deep learning architecture enables higher efficiency
It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there is still room for increasing for example image contrast and resolution. Based on a unique deep learning architecture, a new computational model developed by researchers from the Center for Advanced Systems Understanding (CASUS) at HZDR and the Max Delbrück Center for Molecular Medicine is faster than traditional models while matching or even surpassing their images’ quality. The model, called Multi-Stage Residual-BCR Net (m-rBCR), was specifically developed for microscopy images.
Nov 19, 2024, 12:30:00 PM
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21.11.
NOV 2024∙ T-HUB, PLOT NO 1, NEW DELHI
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