Sort by
Refine Your Search
-
(Methods for Active Informed Machine Learning). This project is a close collaboration with the Hasso Plattner Institute. We are developing and improving machine learning methods by integrating domain
-
system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
-
developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
-
: Providing support with: - software maintenance and extension of a simulation package - the development of training material - processing of bug reports, user enquiries (mailing list), etc. - programming
-
experience and future goals • your CV (including a list of publications if applicable), • evidence of your academic achievements including copies of your Bachelor's, Master's and PhD degrees • at least two
-
The Clementi's group in the Physics Department at Freie Universität Berlin seeks a doctoral researcher (75%) to work on the development and application of coarse-graining methodologies to study
-
project “Lignocide”, which focuses on recycled and biogenic resources, particularly lignin, for developing sustainable biomaterials targeting agricultural applications. This interdisciplinary project
-
The Data Integration in the Life Sciences (DILiS) research group at the Institute of Computer Science at Freie Universität Berlin is headed by Katharina Baum. We primarily investigate and develop
-
is the role of clouds in the climate system. For this, we apply and develop a wide range of numerical approaches that cover highly idealized heuristic models to very detailed Lagrangian representations
-
The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision