Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Nature Careers
- Aalborg University
- Aarhus University
- University of Southern Denmark
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Roskilde University
- Technical University Of Denmark
- Queen's University Belfast
- The Danish Cancer Society
- UNIVERSITY OF COPENHAGEN
- 3 more »
- « less
-
Field
-
-impact publications and knowledge dissemination in flagship forums Your profile The ideal candidate holds a PhD in Electrical Engineering, Electrochemistry, Energy Systems, or a closely related field
-
employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
-
competencies The ideal applicant profile should demonstrate expertise in one or more of the following areas: optimization algorithms (heuristics, metaheuristics, exact methods), learning-based approaches
-
. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
-
focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk
-
, you will contribute to research-based teaching and the supervision of student projects. Skills in mathematical modelling and machine learning of relevant physical glacier processes (ice sheet and
-
academic qualifications at PhD level. Who we are AAU Energy is a dynamic and internationally oriented research department at Aalborg University, dedicated to developing clean and sustainable energy systems
-
systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
-
stakeholders, and FORM is a key founding player in CSlib’s steering and technical leadership . Who we are looking for We are looking for candidates who possess (or are nearing completion of) a PhD in Computer
-
Boson Sampling machine. These ambitious projects all focus on addressing fundamental and technical challenges in photonic quantum computing using continuous-variable entanglement. The successful candidate