RSS Feed Source: Academic Keys

We are seeking a highly motivated postdoctoral researcher to lead the development of tissue bioreactors. The ideal candidate should have a strong background in bioinstrumentation, biomechanics, and/or tissue engineering and be capable of integrating innovative approaches to enhance bioreactor functionality. The Postdoc will work in a highly interdisciplinary environment.

Required Qualifications:

Ph.D. in biomedical engineering, mechanical engineering, or related disciplines. Outstanding communication skills (both oral and written). A record of publications and presentations. Ability to work effectively in a multidisciplinary and collaborative environment.

Preferred Qualifications:

Experience with design, characterization, and validation of biomedical devices. Hands-on experience in device fabrication and computer simulation. Experience in cell and tissue culture, processing, and analysis.

Responsibilities:

Develop and propose innovative solutions to biomedical challenges by formulating hypotheses, designing experimental studies, conducting experiments, analyzing data, and authoring research publications. Present research findings through regular

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RSS Feed Source: Academic Keys

Job ID: 258700

INESC TEC | RESEARCHER (AE2025-0260)
INESC TEC

Research Opportunities

Electrical Engineering with experience in power systems

Work description

The Alliance for Energy Transition (ATE) project aims to develop and industrialize new technologies to support the decarbonization of society, taking advantage of technological and scientific knowledge in the field of Energy in Portugal. The selected candidate will be responsible for the management and technical operation of a production site and injection of marine renewable energy into the electrical grid and for the control of renewable production.

It must also implement an operation and maintenance plan and the evolution of the testing infrastructure, in particular with regard to the specification of the data acquisition and supervision, protection, command and control system of the installation that foresees the installation of a new

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RSS Feed Source: Academic Keys

The School of Chemical and Metallurgical Engineering invites applications from suitably qualified candidates for appointment as a Senior Lecturer (or Lecturer) in the field of Metallurgy and Materials Engineering with specialisation in process pyrometallurgy. The position entails teaching students in the fields of non-ferrous and ferrous pyrometallurgy,  hyrometallurgical process modelling, simulation and design, phase equilibria and metallurgical thermodynamics. However, experience in teaching a number of general process metallurgical engineering subjects will be an added advantage. The ideal candidates should have a strong academic interest in teaching and research.

Qualifications and Requirements:
Applicants for the position should possess a first degree in Metallurgy and Materials Engineering, as well as a PhD degree in a related field. Registration or eligibility for registration as a professional engineer (Pr.Eng.) will be a distinct advantage. A reasonable period of experience in industry or in a research organisation will be an

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RSS Feed Source: Academic Keys

Seeking a motivated Postdoctoral Researcher in Dr. Popel’s laboratory in the Departments of Biomedical Engineering and Oncology, The Johns Hopkins School of Medicine. The successful candidate will join a team that combines computational, experimental and clinical researchers using computational systems biology and quantitative systems pharmacology (QSP) to discover mechanisms of immunotherapies and conduct virtual clinical trials. Also strong interactions with pharmaceutical companies. Examples of recent publications: Zhang S, et al. Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery. Cancer Res. 2024 84(16):2734-2748. doi: 10.1158/0008-5472.CAN-24-0943; Arulraj T, et al. Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade. Proc Natl Acad Sci U S A. 2024;121(45):e2410911121. doi: 10.1073/pnas.2410911121.

Specific skills include strong computational modeling from signaling pathways to tumor scales; knowledge of immunology and machine learning is a plus.

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