Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Denmark
- Sweden
- Germany
- United Arab Emirates
- France
- Netherlands
- Switzerland
- Belgium
- Spain
- Finland
- Morocco
- Australia
- Poland
- Luxembourg
- Italy
- Norway
- Portugal
- Czech
- Ireland
- Canada
- Austria
- Brazil
- China
- Cyprus
- Japan
- New Zealand
- Romania
- Slovenia
- Greece
- Israel
- Singapore
- Taiwan
- 24 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Mathematics
- Economics
- Chemistry
- Earth Sciences
- Materials Science
- Electrical Engineering
- Environment
- Humanities
- Law
- Psychology
- Arts and Literature
- Business
- Physics
- Education
- Linguistics
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k
-
developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
-
the Oxford–Novartis Collaboration for AI in Medicine. It is essential that you hold a PhD/DPhil (or are close to completion) in Statistics, Biostatistics, Statistical Machine Learning, or a closely related
-
, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write
-
conferences. support the teaching activities at the faculty (up to 10% of the time). What we ask of you A PhD in Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field
-
learning, and computer graphics. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k – 57k
-
performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum
-
Molecular Biotechnology (IPMB) of Heidelberg University is offering a 3-year full-time (100%; 39,5 h/week) postdoc position in Multiomics Data Integration and Machine-Learning for therapy response prediction
-
have a fresh PhD/MD and prior experience in computational biology and machine learning. Also required is experience in coding and the development of algorithms. Supplemental Qualifications He/she should
-
spoken and written is required The candidat must have a PhD in computer science, machine learning, or computational biology The position is available immediately and will remain open until filled