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Dr. Julian Adolphs


Abteilung: Data Science in Agriculture

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Mitarbeit in Forschungsprogrammen


Veröffentlichungen vor ATB-Zugehörigkeit

Adolphs, J.; Maier, F.; Renger, T. (2018). Wavelength-Dependent Exciton-Vibrational Coupling in the Water-Soluble Chlorophyll Binding Protein Revealed by Multi-Level Theory of Difference Fluorescence Line-Narrowing. The Journal of Physical Chemistry B, 122.
Adolphs, J.; Berrer, M.; Renger, T. (2016). Hole-burning spectroscopy on excitonically coupled pigments in proteins: Theory meets experiment. Journal of the American Chemical Society, 138 (9).
Müh, F.; Plöckinger, M.; Ortmayer, H.; Schmidt Am Busch, M.; Lindorfer, D.; Adolphs, J.; Renger, T. (2015). The quest for energy traps in the CP43 antenna of photosystem II. Journal of photochemistry and photobiology B: Biology, 152.
Johne, A.; Gross, S.; Stingl, K.; Adolphs, J.; Schlichting, D.; Müller-Graf, C.; Greiner, M.; Appel, B.; Bräuning, J. (2015). Reicht die derzeitige Kühlung von Konsumeiern aus, um das Erkrankungsrisiko durch Salmonellen zu minimieren? Rundschau für Fleischhygiene und Lebensmittelüberwachung, 67.
Gross, S.; Johne, A.; Adolphs, J.; Schlichting, D.; Stingl, K.; Müller-Graf, C.; Bräunig, J.; Greiner, M.; Appel, B.; Käsbohrer, A. (2015). Salmonella in table eggs from farm to retail – When is cooling required? Food Control, 47.
Numata, J.; Kowalczyk, J.; Adolphs, J.; Ehlers, S.; Schafft, H.; Fuerst, P.; Müller-Graf, C.; Lahrssen-Wiederholt, M.; Greiner, M. (2014). Toxicokinetics of Seven Perfluoroalkyl Sulfonic and Carboxylic Acids in Pigs Fed a Contaminated Diet. Journal of Agricultural and Food Chemistry, 62 (28).
Renger, T.; Madjet, M.; Schmidt am Busch, M.; Adolphs, J.; Müh, F. (2013). Structure-based modeling of energy transfer in photosynthesis. Photosynthesis Research, 116.
Weiser, A.; Gross, S.; Schielke, A.; Wigger, J. F.; Ernert, A.; Adolphs, J.; Fetsch, A.; Müller-Graf, C.; Käsbohrer, A.; Appel, B.; Greiner, M. (2013). Trace-Back and Trace-Forward Tools Developed Ad Hoc and Used During the STEC O104:H4 Outbreak 2011 in Germany and Generic Concepts for Future Outbreak Situations. Foodborne Pathogens and Disease, 10.
Adolphs, J.; Kleinjung, F.; Numata, J.; Mielke, H.; Abraham, K.; Schafft, H.; Müller-Graf, C.; Greiner, M. (2013). A probabilistic model for the carry-over of PCDD/Fs from feed to growing pigs. Chemosphere, 93.
Adolphs, J.; Appel, B.; Bernard, H. et al. (2011). Ergebnisbericht der Task Force EHEC zur Aufklärung des EHEC O104:H4 Krankheitsausbruchs in Deutschland. Journal für Verbraucherschutz und Lebensmittelsicherheit, 6.
Adolphs, J.; Müh, F.; Madjet, M.E.; Schmidt am Busch, M.; Renger, T. (2010). Structure-based calculations of optical spectra of photosystem I suggest an asymmetric light-harvesting process. Journal of the American Chemical Society, 132 (10).
Adolphs, J.; Müh, F.; Madjet, M.E.; Renger, T. (2008). Calculation of pigment transition energies in the FMO protein: from simplicity to complexity and back. Photosynthesis Research, 95.
Adolphs, J. (2008). Photosynthesis: How Proteins Control Excitation Energy Transfer. Book chapter in: Handbook of Research on Systems Biology Applications in Medicine.
Adolphs, J. (2008). Theory of Excitation Energy Transfer in Pigment-Protein Complexes. Dissertation, Freie Universität Berlin.
Müh, F.; Madjet, M.E.; Adolphs, J.; Abdurahman, A.; Rabenstein, B.; Ishikita, H.; Knapp, E.W.; Renger, T. (2007). Alpha-Helices direct excitation energy flow in the Fenna-Matthews-Olson protein. Proceedings of the National Academy of Sciences of the USA, 104.
Müh, F.; Madjet, M.E.; Adolphs, J.; Renger, T. (2007). Structure-based calculation of pigment transition energies in light-harvesting antennae. Photosynthesis Research, 91.
Adolphs, J.; Renger, T. (2006). How proteins trigger excitation energy transfer in the FMO complex of green sulfur bacteria, Biophysical Journal, 9.

Curriculum Vitae

Julian Adolphs is a postdoc in the junior research group data science in agriculture at ATB. He received his PhD in 2008 at the Free University Berlin in theoretical physics. After his PhD he worked in the scientific service of the German parliament for 15 months. After this excursion to scientific policy advice he returned to science and worked as a researcher in the division of epidemiology, etatistics and eathematical eodelling at the federal institute of risk assessment (BfR) in Berlin for two years. There he developed probabilistic and toxicokinetic models for the accumulation of persistent organic pollutants in food. From 2013 to 2019 he worked as a university assistant in research and teaching at the department of theoretical physics at Johannes Kepler University Linz (Austria). In Linz he also found his interest in data science and machine learning. Based on his experience in mathematics, statistic and programming, he is now applying machine learning/deep learning methods to agricultural problems.