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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
including small molecule and vaccine candidates. Postdoctoral preceptors associated with the program are drawn from the departments of Infectious Diseases, Structural Biology, Chemical Biology & Therapeutics
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To strengthen our team in the division 2.4 “Testing and Evaluation of Explosives and Pyrotechnics" in Berlin-Steglitz, starting as soon as possible, we are looking for a Postdoctoral researcher(m/f
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, such as estimation and detection, SAR processing, beamforming, tracking, or joint communication sensing algorithms Hands-on experience with software defined radio (SDR) platforms, e.g. USRP, RFSoC, LimeSDR
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such as NumPy, SciPy, PyTorch or TensorFlow Experience with C/C++ and GPU/accelerator platforms is an asset Hands‑on experience with software‑defined radio platforms, RF measurement equipment, or laboratory
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the GAMMA-UL Chair on Regional Integration and Sustainability, this project utilizes tested methodologies to assess Luxembourg's normative coherence for global climate action commitments. Responsibilities
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experience in writing successful research proposals Experience in research project management or coordination Solid software development skills in Python; C/C++ is a plus Fluency in English is required
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highlight your research interests and relevant skills, and describe why you are applying for this fellowship (maximum 2 pages) Short project proposal where you describe how you suggest the proposed method
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antibody specificity profiling. KEY RESPONSIBILITIES You’ll join a small team advancing a new screening platform focused on therapeutic antibody specificity. The aim is to deploy this newly developed assay
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. size-selected cluster sources. Catalytic testing using ultra-sensitive chip-interfaced electrochemistry–mass spectrometry (EC–MS) and ultra-high-vacuum-compatible thermal catalytic setups. 3D atomic
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to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making. • Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based