Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
- Computer Science
- Biology
- Economics
- Medical Sciences
- Chemistry
- Business
- Engineering
- Linguistics
- Mathematics
- Arts and Literature
- Psychology
- Science
- Education
- Materials Science
- Social Sciences
- Electrical Engineering
- Humanities
- Earth Sciences
- Environment
- Law
- Philosophy
- Sports and Recreation
- 12 more »
- « less
-
of computational linguistics and crosslingual emotion detection Position You will work actively on the preparation of a PhD thesis in the context of the research project ‘Emotions without borders: Studying
-
currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
-
currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
-
Application Deadline 9 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 20 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
Project description We are a highly motivated international team of researchers at the Molecular Neurogenomics group (Jordanova Lab) and the Computational Neurobiology group (Malysheva Lab
-
(100%) PhD in the field of Molecular and Computational Neurogenomics Position We are a highly motivated international team of researchers at the Molecular Neurogenomics group (Jordanova Lab) and the
-
toolchains Familiarity with distributed training/inference, AI system bottlenecks, and performance tuning Prior experience with cloud computing and AI system deployment in production settings
-
Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth
-
that develops advanced AI compute solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid hardware architectures
-
method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during