Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Postdoctoral Researcher in GaAs Photonic Integrated Circuits. Are you passionate about semiconductor lasers and photonic integrated circuits (PICs), and are you also excited by the prospect of putting them
-
, electronic circuit design characterization techniques (Raman microscopy, AFM, SEM, etc.) neuroscience biological/in-vivo sensors Experience in collaboration with biologists or medical researchers is an
-
The Finnish Advisory Board on Research Integrity . A short and free-form motivation/cover letter (max 2 pages), including your research interests, career goals and previous experience and merits in relation
-
Sweden. The project develops secure, adaptable, and scalable edge computing frameworks that integrate AI-driven intelligence and resilient infrastructure for SMEs in manufacturing, logistics, energy, and
-
basis of adaptive plasticity and its evolution. The postdoc will take a leading role in, focusing on experimental evolution under novel and variable light environments, integrating multi-omics datasets
-
, predictiveness, and applicability of such models while ensuring they can be effectively integrated into the engine development process. This includes aspects such as automatic model calibration, validation, while
-
in Arctic environments, as well as photoelectrochemical (PEC) water splitting as an integrated solar-to-hydrogen technology. Furthermore, H2FUTURE addresses the environmental and societal impacts
-
or bioinformatics will be available. The candidate we seek Has a PhD degree in nutrition, nutritional physiology/molecular nutrition, integrative physiology, molecular biology or other relevant areas of life sciences
-
in training and inference, integrated with our cluster. You don't need special knowledge already when applying - general knowledge of machine learning practices is enough, and you'll learn more later
-
systematic reviews, meta-analysis, or other integrative approaches strong quantitative skills, including handling and analysis of large datasets experience with programming languages for scientific computing