Internship Positions 2022
| Group (Institute) | Research Area Project Title(s) | Duration in weeks | Student Background |
|---|---|---|---|
| Hayder Amin (DZNE) | Mathematics, Neurocomputation, Bioengineering, Network Electrophysiology Computational properties of rates and rhythms in large-scale neuronal networks | 12 | Computer Science, Mathematics and/or Bioengineering, or similar fields. Fluency in coding with Python or equivalent is essential. |
| Olaf Bergmann (TUD CRTD) | Heart Regeneration Exploring cardiomyocyte cell cycle activity in mammalian hearts | 12 | Life Science, Medicine |
| Michael Brand (TUD CRTD) | Genetic Engineering Development of a near-infrared optogenetic system for Cre/loxP recombination in zebrafish | 12 | Bioengineering or Life Science |
| Henrik Bringmann (TUD BIOTEC) | Biology, Biomedicine Impact of sleep loss on skin and immune system function in C. elegans | 12 | Life Science |
| Frank Buchholz (TUD Medical Campus) | Gene Therapy Investigating the preexisting immunity of the general population to Cre recombinase | 12 | Life Science or Medicine |
| Ünal Coskun (TUD PLID) | Metabolism, Lipids, Lipidomics, Lipid-Protein Interactions Therapeutic antibodies against glycolipids | 12 | Life Science |
| Ünal Coskun (TUD PLID) | Metabolism, Lipids, Lipidomics, Lipid-Protein Interactions Direct regulation of AKT signaling by lipids-protein interaction | 12 | Life Science |
| Christian Dahmann (TUD Biology) | Developmental Biology How embryos take shape: from genes to cell mechanics | 8–12 | Life Science |
| Natalie Dye (TUD PoL) | Cell and Developmental Biology, Biophysics Self-organization in animal morphogenesis: how 3D tissue morphology emerges from dynamic cellular interactions | 12 | Any is welcome. Those with math/physics/compsci/eng background should be interested in gaining some knowledge in biology and applying their skills to a life science problem. Life science background is also welcomed, especially those with some programming/computer skills. |
| Björn Falkenburger (TUD Medical Campus) | Cell Biology, Parkinson’s Disease FRET-based biosensors in IPS cell-derived neurons | 12 | Life Science or Medicine |
| Maria Fedorova (TUD Medical Campus) | Metabolism, Lipids, Lipidomics, Lipid-Protein Interactions Lipidomics of liver pathologies | 12 | Life Science |
| Maria Fedorova (TUD Medical Campus) | Metabolism, Lipids, Lipidomics, Lipid-Protein Interactions Lipidomics of cell death | 12 | Life Science |
| Elisabeth Fischer-Friedrich (TUD PoL) | Biological Physics/Quantitative Biology Image analysis of time lapse movies for analysis of mitotic roundness and cell cycle duration in tumor spheroids | 12 | Life Science, Computer Science, or Physics with a good hand for computers and data evaluation |
| Benjamin Friedrich (TUD PoL, TUD cfaed) | Theoretical Biological Physics How to build muscle? Mathematical modeling of myofibrillogenesis in muscle cells. | 12 | Physics, Mathematics, or Computer Science |
| Hanno Glimm (TUD Medical Campus) | Cancer Research Identification of GPCRs involved in Tumor-initiating cell activation in Pancreatic cancer | 12 | Life Science |
| Kaomei Guan (TUD MTZ) | Stem Cell Biology, Cardiovascular Research Induction of iPSC-cardiomyocyte maturation by the combination of microfluidic and electrical stimulation | 12 | Life Science, Medicine |
| Nils Kröger (TUD B CUBE) | Biophysics, advanced microscopy techniques, genetic engineering Investigating the role of CapZ in the actin dynamics of C. australis Investigating the role of CapZ in the actin dynamics of C. australisUse TIRFM to determine if any movement of CapZ can be seen in C. australis, to demonstrate possible changes in the length/number of actin filaments. (Possibly) use super-resolution microscopy to obtain higher resolution images showing precise location of CapZ (and ends of actin filaments) – This would require some cloning work to express CapZ as a fusion protein with a suitable fluorophore, or development of a method to introduce a dye into the cell. | 10 | Life Science, Engineering, Physics |
| Nils Kröger (TUD B CUBE) | Bioinformatics, computer sciences, genetic engineering In silico identification of actin-associated proteins in C. australis In silico identification of actin-associated proteins in C. australisScreening of the C. australis genome against known sequences of actin assosciated proteins (profilin, anilin etc.) - This can either be done manually through BLAST, or better yet, can be automated by a student with a good background in programming. Confirm gene model and express promising targets as FP fusion proteins. | 10 | Life Science, Engineering, Computer Science |
| Nils Kröger (TUD B CUBE) | Biophysics, advanced microscopy techniques, genetic engineering Investigation of actin structure/dynamics of C. australis via advanced microscopy Investigation of actin structure/dynamics of C. australis via advanced microscopyFurther work on the structure/dynamics of actin through one or more of the following approaches:
| 10 | Life Science, Engineering, Physics |
| James Sáenz (TUD B CUBE) | Synthetic biology, membrane biophysics, lipidomics, microbiology, host-pathogen interactions Exploring the minimal design principles of living membranes | 12 | Life Science, Engineering, Computer Science, Physics, Mathematics, or Medicine |
| Bernd Schröder (TUD MTZ) | Biochemistry/Cell Biology Structure-function analysis of protein-protein interactions and protease-substrate pairs [→ Info PDF] | 12 | Life Science |
| Michele Solimena (TUD PLID) | Bioinformatics A new -omics landscape of human pancreatic islets in health and diabetes A new -omics landscape of human pancreatic islets in health and diabetesTasks
References
| 12 | |
| Anna Taubenberger (TUD BIOTEC) | Bioengineering, Cancer Research, Biophysics Studying prostate epithelial – stromal interactions using 3D in vitro models | 12 | Life Science, Engineering, Physics or Medicine |
| Attila Tóth (TUD MTZ) | Genetics and Protein Biology Secret of safe sex: analysis of chromosomal proteins that safeguard meiotic recombination | 12 | Life Science |