Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
research funding • Strong organizational and management skills, with the ability to manage multiple tasks in parallel • Excellent analytical skills and ability to present interdisciplinary research
-
tools (e.g., Python programming) is an advantage. You enjoy working in an international team and have good communication skills. Proficiency in spoken and written English is required. For more information
-
to measure the effectiveness and usability of different human-AI collaboration models in software engineering? How can we support not only professional developers but also novice programmers in creating
-
research on the effects of different forest management regimes on the protective function of forest ecosystems. The work is embedded in a collaborative project coordinated at the Technical University
-
interdisciplinary collaborations such as the Collaborative Research Center 1371 “Microbial Signatures – Functional Relevance in the Digestive Tract” (https://www.sfb1371.tum.de/) and access to different core
-
, giving quantitative insight into physical processes at the nanoscale. The candidate will develop the next generation of neural network potentials and apply them to problems from different scientific fields
-
programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
-
experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
-
Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
-
spectrometry (GC-MS), electro-antennographic detection (EAD), RNAi knockdowns, and behavioral olfactometer assays—to elucidate how divergence in CHC perception has potentially contributed to prezygotic