cardiocrine signaling PhD positions, programs, scholarships and fellowships

This PhD position focuses on cardiac immunometabolism, investigating interferon signaling's role in cardiocrine signaling and cardiac fibrosis using transgenic mouse models, hiPS-derived cardiomyocytes, and computational multi-omics analysis. The successful candidate will join Dr. Manju Kumari’s DFG-funded team at Heidelberg University’s Department of Cardiology, gaining expertise in molecular biology, animal work, and data integration while contributing to a collaborative interdisciplinary environment.

The Doctoral Researcher position in Signal Processing at Tampere University focuses on statistical signal processing and optimization, with applications in array signal processing for sensing (radar, RF imaging, sonar) and wireless communications, particularly MIMO systems. The candidate will conduct high-quality research, publish in top international journals and conferences, complete a doctoral degree, and assist in teaching and supervision. The role is supervised by Assistant Professor Robin Rajamäki and offers a hybrid work arrangement with on-site presence encouraged.

The University of Surrey invites applications for a 12‑month Research Fellow position within the Centre for Vision Speech and Signal Processing (CVSSP) to develop machine learning and AI models for perceptual quality prediction of spatial music. The role involves creating signal processing algorithms that evaluate how listeners perceive music reproduced through 3D rendering techniques, working under the supervision of Prof. Wenwu Wang and in collaboration with an industrial partner. Candidates must hold a PhD (or equivalent) in machine learning, spatial audio, audio signal processing, audio perception, audio quality assessment, or a related field such as electronic engineering, computer science, applied mathematics, or statistics. Experience in machine learning/AI or spatial audio is preferred, but applicants with backgrounds in audio perception and signal processing are also encouraged to apply. The position offers a competitive salary, flexible working options, and access to extensive computational resources including over 300 GPUs at CVSSP and additional GPU clusters at the Surrey Institute of People Centred AI.

The University of Amsterdam invites a postdoctoral researcher to study how implicit and explicit user feedback can refine retrieval, recommendation, and LLM systems. The role involves collaboration with Booking.com, publishing in top venues, and supervising PhD students within the Mercury Machine Learning Lab.

This PhD project investigates how developmental stress, particularly starvation, rewires neuropeptide signaling networks in the nematode Caenorhabditis elegans. Using the dauer larval stage as a model, the research combines optogenetics, microfluidics, high-throughput behavioral analysis, and molecular genetics to map neuropeptide pathway changes and identify specific peptides that control dauer-specific physiology and behavior. The work aims to uncover fundamental mechanisms of neurohormonal regulation and may inform strategies for controlling parasitic nematodes.

This PhD investigates how temperature interacts with hormone pathways to control leaf development in plants, using genetic and molecular techniques. The project aims to understand climate change impacts on plant growth, offering training in advanced microscopy, data analysis, and scientific communication. Supervised by Dr. Balcerowicz at the University of Dundee's James Hutton Institute, it prepares candidates for careers in academia or industry.

This PhD position at Linköping University focuses on developing energy-efficient integrated circuits and architectures for 6G communication system frontends. The research involves designing and verifying novel transceiver frontend solutions, including data converters, using advanced CMOS technologies. The candidate will work in an international collaboration with Lund University and Universidad de Sevilla, aiming to publish breakthrough results in premier journals and conferences. Requires a Master's degree in Electronics Engineering with documented proficiency in analog/RF/mixed-signal IC design and full design flow experience.

The PhD Research Fellow position at the University of Oslo focuses on developing adaptive AI-driven interactive environments for motor learning and rehabilitation. The project involves designing serious games and biofeedback systems that respond in real time to physiological signals such as muscle activity, movement, and cardiac signals. It is situated within the MishMash Centre for AI and Creativity, funded by the Research Council of Norway, and aims to balance goal-directed adaptation with user agency and transparency while addressing ethical, cultural, and societal implications of AI in creative health practices.

This PhD project at the University of Southampton aims to develop a revolutionary 'sentient' hearing aid that uses real-time physiological signals (EEG, pupillometry) and AI (GANs) to adapt sound processing. The research will focus on closed-loop systems, speech intelligibility in noise, and biomedical signal processing, offering multidisciplinary training at the Institute of Sound and Vibration Research.