Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- Nature Careers
- University of Cambridge
- The University of Iowa
- Duke University
- Purdue University
- DAAD
- Technical University of Denmark
- Cornell University
- MASARYK UNIVERSITY
- Imperial College London
- Susquehanna International Group
- Technical University of Munich
- University of Oxford
- University of Tübingen
- Wageningen University and Research Center
- Georgetown University
- THE UNIVERSITY OF HONG KONG
- University of Massachusetts Medical School
- University of Oregon
- University of Sheffield
- University of Utah
- AALTO UNIVERSITY
- Carnegie Mellon University
- Columbia University
- Leibniz
- Luxembourg Institute of Socio-Economic Research (LISER)
- Radix Trading LLC
- University of Kansas Medical Center
- University of Liverpool
- University of Luxembourg
- University of Newcastle
- University of Texas at Austin
- ; University of Bristol
- ; University of Cambridge
- Aalborg University
- Aarhus University
- Arizona State University
- Aston University
- Baylor College of Medicine
- Brookhaven Lab
- ETH Zurich
- Fermilab
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Ghent University
- Heriot Watt University
- James Cook University
- KINGS COLLEGE LONDON
- Los Alamos National Laboratory
- Lulea University of Technology
- McGill University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Norwegian Institute of International Affairs
- Pennsylvania State University
- Prof. Ruilin Pei and Shenyang University of Technology
- The Ohio State University
- The University of Alabama
- The University of Chicago
- Trinity College Dublin
- Universidad Autónoma de Madrid
- Universiti Teknologi PETRONAS
- University of California Irvine
- University of California, Berkeley
- University of California, Santa Cruz
- University of Copenhagen
- University of Groningen
- University of Idaho
- University of Lethbridge
- University of Limerick
- University of Louisville
- University of Lund
- University of Maryland, Baltimore
- University of New Hampshire – Main Campus
- University of Pittsburgh
- University of Southern California
- University of Southern California (USC)
- University of Texas at Dallas
- Virginia Tech
- Vrije Universiteit Brussel
- 70 more »
- « less
-
Field
-
interface that provides operational insights. As the project progresses, you will continuously enhance the ML models to adapt to more sophisticated data, ensuring the tools remain at the cutting edge
-
models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
-
inferential statistics, model testing, and power analysis Desired Qualifications Demonstrated mentoring and teaching ability in the areas of statistical methods and use research-related tools Experience with
-
genomes. Dr Karam Teixeira's group uses Drosophila as a model to study transposable element biology, epigenetic regulation and inheritance, small RNA-based defence mechanisms, and germline biology in
-
statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
-
In this position, you will work on microscopy-integrable measurement technologies used to study three-dimensional cell culture models of breast cancer tissues. This PhD candidate position is
-
validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
-
, and torque output.3.Conduct in-depth research into how material properties influence the electromagnetic, thermal, and mechanical performance of motors, and develop collaborative optimization models
-
of contract research for both veterinary and human biomedical companies. A key focus lies in the execution of preclinical and clinical studies in viral infection models, aimed at evaluating the efficacy
-
experience. Proven technical competence in experimental science and data analysis/modelling. Strong practical understanding in at least one of the following: medical device manufacturing, sustainable materials