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regulatory environments, sustainability, or policy modeling in supply chains. Solid programming or modeling skills in tools such as Python. Strong analytical, writing, and communication skills in English. A
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programming skills in python and preferably a compiled language such as Java or C++. Clear evidence of deep learning proficiency, reflected through coursework and GitHub repositories. Postdoctoral candidates
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Python. Strong analytical, writing, and communication skills in English. A collaborative mindset and interest in working across disciplines. Additional valued experience (not required but welcome
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interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection. Familiarity with machine learning and proficiency in Python
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skills (e.g., Python or other languages) and the ability to handle large datasets are an advantage. Applicants without these skills should have the motivation to develop them early on in the PhD. You have
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: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired
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Biomedical Sciences, Microbiology, or related fields; experience with anaerobic bacterial culturing, mass spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with
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, R and/or Python. a scientific mindset, inquisitive personality, team player, and the capacity to work independently; In our international working environment, there is an increasing amount
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field. Proficiency in deep learning and exceptional programming skills in python and preferably a compiled language such as Java or C++. Clear evidence of deep learning proficiency, reflected through
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Matlab or Python. Experience with neuroscience techniques (e.g. EEG) is a plus. You possess proven problem-solving skills and an ability to take a strong, positive and proactive approach to work. You have