Completed degree in a medically related field (e.g., Health Sciences and Technology, Biomedical Engineering at a University of Applied Sciences) or a comparable medical-technical professional backgroundExperience with biophysiological measurement methods (e.g., EEG, EMG) is an advantageExperience in conductance of medical device studies is an advantageFluent in English (spoken and written); good German skills are an advantageStrong technical affinityGood computer skills; experience with programming languages such as MATLAB, Python, or similar is an advantageVery thorough, structured, and independent working style with a strong commitment to qualityAbility to work well in a team as well as independently and flexibly
Dein Profil: Ein laufendes Studium in Informatik, Umwelt- oder Elektrotechnik, Data Science, Ingenieurwissenschaften oder einem vergleichbaren Studiengang.Interesse an Bildverarbeitung, Computer Vision oder KI-basierten Methoden.Erste praktische Erfahrung in der Softwareentwicklung (z. B. Python, C++, Machine-Learning-Frameworks).Analytisches Denkvermögen, strukturierte Arbeitsweise und Freude an experimenteller Forschung.Fließende Deutschkenntnisse sowie gute Englischkenntnisse in Wort und Schrift.
Dein Profil: Ein laufendes Studium in Informatik, Umwelt- oder Elektrotechnik, Data Science, Ingenieurwissenschaften oder einem vergleichbaren Studiengang. Interesse an Bildverarbeitung, Computer Vision oder KI-basierten Methoden. Erste praktische Erfahrung in der Softwareentwicklung (z. B. Python, C++, Machine-Learning-Frameworks).
Vacancy at the Berlin University for a professorship (W2) in the field of Health Informatics, which may and should also initiate its own research projects. A Bachelor's programme in Computer Science in Culture and Health and a Master's programme in Applied Computer Science are offered.The teaching assignment is in Bachelor's and Master's degree programmes of the department at the University in Berlin.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.
Du interessierst dich besonders für: Computer Vision. Action Recognition und Human Pose Estimation. Deep Learning (z. B. CNNs, Transformer-basierte Architekturen). Verarbeitung und Analyse von Video- und Bilddaten.
Du interessierst dich besonders für: Computer Vision. Action Recognition und Human Pose Estimation. Deep Learning (z. B. CNNs, Transformer-basierte Architekturen). Verarbeitung und Analyse von Video- und Bilddaten.
Main Tasks and Key Responsibilities Overall goals / Typical measures Seeks and prospects for BC targets to win new customers generally in the 30k-500k Euro range Net Sales per annumPlans and manages medium to large - sized Business CustomersBuilds rapport and trust with customers by being informed about customer’s business and the marketAssesses the type and size of customer needsRecommends solutions based on customer needs by using industry knowledgeIs responsible for closing business by connecting a customer’s needs to a DHL solution by offering value to the clients supply chainSupports customer growth by conducting joint visits with Product, TL and organizing workshops inviting customers to share information on updated regulations, products, etcUses networks within the various Sales channels within DP DHL to collaborate on customers, marketing strategies and offers a full supply chain of services to service customer needsCollects relevant customer information for the RFI/RFP/RFQ and prepares documents for customer implementation in order to ensure proper operational handover and implementation to meet customer expectations (SLA’s & SOP’s)Is a master user of DGF CRMTransfers SC with high value potential to key account Sales channel Job Requirements Computer Literate – All MS Programsand willing to learn additional computer skillsAbility to work in a team environment and transfer of knowledge to team membersAbility to work within time constraints, make own decisions and advise Client of logistics solutionsPunctuality and time management skills are essential elements of this position.Ability to work under extreme pressure with minimal supervision.Ability to communicate effectively on all levelsAbility to use initiative and be a self-starterCreativity and problem-solving capabilitiesOutstanding Customer relationship skills a necessityPunctuality and time management skills are essential elements of this position.Must have previous freight experience Skills / Qualifications Key capabilities / Competencies Competence Competency segment ‘Business’ Analysis:Breaks down a problem, situation or process into its component parts, separates the main issues from side-issues, understands the nature of parts and their relationship to one another.