Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Science
- Engineering
- Mathematics
- Economics
- Chemistry
- Humanities
- Materials Science
- Earth Sciences
- Psychology
- Business
- Linguistics
- Arts and Literature
- Social Sciences
- Electrical Engineering
- Environment
- Law
- Sports and Recreation
- Education
- Physics
- 12 more »
- « less
-
/postdoc-in-meaningful-human-con… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364464/ Work Location(s) Number of offers available1Company
-
researcher to start in February 2026. The primary responsibility of the postdoc is to perform basic or applied research of a limited scope, primarily using existing theories and methods, ensuring
-
- excellent command of English (spoken and written), sufficient for preparing scientific publications and presenting research results at conferences, - knowledge of machine learning methods, - sufficient
-
/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is
-
advanced analytical approaches, including statistical modelling, machine learning, and/or genetic epidemiological methods, to study disease trajectories, risk factors, treatment patterns, and sources
-
interface of machine learning, deep learning, data science and applications in forest sciences. Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological
-
As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
-
characterization (PXRD and Rietveld refinement, SEM, XPS, etc) Experience with machine learning techniques, particularly machine-learned interatomic potentials, in the context of chemical research. Programming
-
of quantum computing and/or machine learning; Possibility to file patent applications within the project; Funds to employ 3 other researchers: 1 postdoc and 2 PhD students and also several students; Funds
-
and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with