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Field
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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Partnership Your qualifications: PhD in environmental / agricultural science, (rural) sociology, human geography, political sciences, or related subjects Knowledge of transdisciplinary approaches and methods in
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, transforming the EU into a modern, resource-efficient, and competitive economy. Responsibilities and qualifications The focus of this PhD/Postdoc project is to develop a new Li-operated potentiometric
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 7 days ago
(imaging) data analysis is preferred. Prior experience in microscopy is desired but not required.) Development of 3D diffusion-based single-molecule sensors (the candidate with theoretical knowledge and
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scientific partners Publication of results in form of scientific papers and presentations at international conferences About you: Scientific university education in Mathematics with PhD or similar Skills and
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. Scientific studies focusing on the ionospheric electric current systems including comparisons with observations will be conducted in close collaboration with the working group Satellite Data Analysis. Your
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techniques to challenging biological systems. Requirements: Ideal candidates should hold an excellent PhD in structural biology, biochemistry, biophysics or in an equivalent area. Experience in membrane
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possible date. Candidate’s profile: A PhD (or equivalent) in biology, immunology, microbiology, biochemistry, biotechnology, or a related discipline; candidates about to obtain their degree are welcome
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#publish findings in international peer-reviewed journals #PhD in Geography, Sustainability Sciences, Ecological or Environmental Economics, System Dynamics, or related fields #proven experience in system
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs