Dr. Yuliya Miloslavina

is fine and healthy. 🥦

Angestellt, Postdoctoral Researcher, TU Darmstadt

Abschluss: Dr. rer. nat., Heinrich-Heine-University in Düsseldorf

Darmstadt, Deutschland

Fähigkeiten und Kenntnisse

Data Science
Machine Learning
Artificial intelligence
Neural Networks
Computational modeling
Simulations
Molecular Modeling
TensorFlow
Python
Deep Learning
Natural Language Processing (NLP)
Computer vision
Algorithm
Naturwissenschaft
Structural Biology
Visualization
Physical Chemistry
Biophysics
Magnetic Resonance Spectroscopy
Optical Spectroscopy
Biotechnology
Photosynthesis
Strategic planning
Coding
Data Analysis
Data-Mining
Networking
Communication skills
Teamspirit
Logic argumentation
Invention and Innovation
Innovative Solutions
Creative
Research
self-motivated
Data Modelling

Werdegang

Berufserfahrung von Yuliya Miloslavina

  • Bis heute 3 Jahre und 6 Monate, seit Dez. 2020

    Postdoctoral Researcher

    TU Darmstadt

    Supported scientific research on PHIP-NMR (parahydrogen-induced polarization nuclear magnetic resonance) measurements and preparation of different octreotides and knottins with PHIP labels by means of solid-state peptide synthesis. Conduct theoretical prediction of NMR spectra in order to compare with experimental data. Collaborate with other groups to extend the technique to bigger proteins. • Co-authored papers on parahydrogen induced polarization

  • 1 Jahr und 8 Monate, Okt. 2021 - Mai 2023

    Systems Dynamics Modeller

    Downforce Technology

  • 5 Jahre und 1 Monat, Feb. 2012 - Feb. 2017

    Postdoctoral Researcher, FOM fellowship

    University of Leiden

    Resolved the structure of chlorosomes at high resolution by a combination of solid-state NMR, cryo-EM Fourier analysis and computer simulations. Designed and researched applications of chlorosomes and their mimics to bio-hybrid and bio-inspired devices for direct solar-to-fuel conversion. Implemented state-of-art NMR pulse sequences for structural analysis of chlorosomes. • Performed prediction analysis for NMR chemical shifts • Published a review at the Royal Society of Chemistry • Published a paper

  • 2 Jahre und 4 Monate, Okt. 2009 - Jan. 2012

    Postdoctoral Researcher, Marie-Curie Fellowship

    Biological Research Center, Hungarian Academy of Sciences

    Navigated computer modelling of VIS and IR transient absorption data. Performed anisotropic circular dichroism to define architecture of photosynthetic membranes and complexes by assessing secondary structure of proteins and performing studies of dynamic systems like folding and binding of proteins. Carried-out SAXS and SANS measurements to investigate conformational diversity within pigment-protein complexes. • Produced 3 papers • Led project to investigate light use efficiency in plants and algae

  • 4 Jahre und 10 Monate, Nov. 2004 - Aug. 2009

    PhD Scientist + Postdoc, Marie-Curie and SFB felloship

    Max-Planck-Institute for Chemical Energy Conversion

    Explained for the first time mechanisms of non-photochemical quenching in intact higher plant leaves and diatom cells in physiological conditions by time-resolved fluorescence spectroscopy. Studied primary energy and electron transfer processes in photosynthesis. Successfully analyzed and interpreted the extremely complex fluorescence decay kinetics. Identified two quenching sites active in regulation of photosynthetic light-harvesting. Published a model for the universal NPQ mechanism in plants and diatoms

Ausbildung von Yuliya Miloslavina

  • 3 Jahre und 7 Monate, Mai 2005 - Nov. 2008

    Mathematics and Natural Sciences

    Heinrich-Heine-University in Düsseldorf

    Interdisciplinary PhD in Mathematics and Natural Sciences Thesis: On the mechanisms of non-photochemical quenching in higher plants and diatoms

  • 4 Jahre und 10 Monate, Sep. 1999 - Juni 2004

    Chemistry. Researcher

    Belarusian State University

    Specialization in Physical Chemistry (Computational Chemistry) Lab of Statistical Thermodynamics Thesis: Correlations of the surface tension and the enthalpy of vaporization of molecular liquids Overall grade: excellent with distinction

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Niederländisch

    Grundlagen

  • Russisch

    Muttersprache

Interessen

Mashine Learning
Research
taiji
Calligraphy

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