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mathematics Proficient in programming (Python and C++) Fluent in written and spoken English; knowledge of German is an asset Strong analytical and independent working style Excellent teamwork and communication
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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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systems, or a comparable field of study Strong interest in additive manufacturing, materials, and resource issues Analytical thinking and interest in systemic issues Basic knowledge of quantitative methods
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desirable Knowledge of energy research and sustainable chemical processes is an advantage Independent and self-motivated way of working High motivation to complete the doctorate within three years Very good
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Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network
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pertinent to the learning sciences good or excellent degree from previous studies very good knowledge of methodology and research skills very good skills in oral and written English research interest in
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | 6 days ago
to food Knowledge about quality assurance of analytical methods Good communication skills (written and oral English) Experience with international collaboration and the ability to work effectively in
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required) Knowledge of German is beneficial Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your
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"Legal Research and Writing for PhD Students" is designed to help students obtain the necessary skills and knowledge to write their theses. Students are supported in formulating their central research