Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
The Faculty of Medicine at Leipzig University and the Max Planck Institute for Evolutionary Anthropology (MPI-EVA) jointly invite applications for a Professorship in population genetics in the field
-
-of-the-art by exploring novel experimental and algorithmic approaches enabling spectroscopy and imaging of quantum materials and biological samples with extreme spatial and temporal resolution. The work at the
-
of the life sciences at the Technical University of Braunschweig with an evolutionary biology perspective. In doing so, it should expand the existing focus areas of systems biology, biotechnology, biochemistry
-
immune responses By combining transcriptomics, immunohistochemistry, advanced imaging, and physiological assays across, we aim to elucidate the fundamental processes underlying the evolutionary success and
-
approaches are discovered at the intersection of fields. We combine ideas and tools from a range of disciplines including metabolism research, neurosciences, (comparative) physiology, evolutionary biology and
-
Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X‑Ray Scattering Images Project description Single molecule X‑ray scattering experiments
-
silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
-
Contribute to the development of new algorithms and methods for the efficient analysis of large-scale omics datasets Participate in workflow automation and management using systems such as Snakemake
-
-throughput experiments in molecular biology, image and video analyses as well as pattern recognition of complex public health data Collaboration in the development of algorithms/methods and development
-
algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models