Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
for Software and Systems Engineering (ISSE), Clausthal University of Technology (TU Clausthal), is seeking to fill three positions as Academic Researcher in the field of Software Engineering for Dependable AI
-
applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
-
complexes” During my postdoc I discovered that the TREX-complex member and RNA clampase UAP56 functions at the heart of nuclear mRNA export and orchestrates nuclear remodeling steps through its ATP-dependent
-
the egg are essential for early development, yet the molecular events that awaken these transcripts remain poorly understood. During my postdoc, I identified proteins and mRNAs localized to storage granules
-
). The Schirmeier lab is a small multicultural research group with PhD students and postdocs of different nationalities. Thus, the group’s communication is in English. We aim to analyze the metabolic homeostasis
-
Spectroscopy, Raman Spectroscopy, Spectroscopic Ellipsometry, …) Ultrafast Femtosecond Time-Resolved Pump-Probe Spectroscopic Ellipsometry and Time-Resolved Photoluminescence Data evaluation (commercial software
-
Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
-
scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
-
scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
-
techniques. We built pipelines based on AlphaFold and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based