Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Cranfield University
- Technical University of Denmark
- ; City St George’s, University of London
- Forschungszentrum Jülich
- KINGS COLLEGE LONDON
- Leiden University
- Nature Careers
- UNIVERSIDAD POLITECNICA DE MADRID
- CWI
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Leibniz
- Leiden University; today published
- Linköping University
- McGill University
- Medizinische Universitaet Wien
- NTNU - Norwegian University of Science and Technology
- Reykjavik University
- University of Basel
- University of Nottingham
- University of Nottingham;
- University of Southern Queensland
- University of Twente (UT)
- University of Tübingen
- 15 more »
- « less
-
Field
-
data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
-
spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
-
external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
-
of interdisciplinary fields is beneficial, as is famili arity with adaptive intelligence, human-in-the-loop machine learning, and multi-modal learning techniques. Strong problem-solving, critical thinking, and teamwork
-
University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
-
journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong