Aufgaben: Provide effective technical leadership and guidance, continually reviewing and evaluating current knowledge and emerging issues in biostatistics, and in the epidemiology and genetics of common, complex diseases; Prepare solicitations of grant applications and contract proposals, establish clear objectives and evaluation criteria, conduct complex technical negotiations and make recommendations regarding funding decisions; Analyze, interpret, and evaluate data from a medical and scientific viewpoint in an accurate and timely manner, identifying public health implications and making appropriate recommendations
Anforderungen: The successful candidate must have completed a full 4-year course of study in an accredited college or university leading to a bachelor's degree or graduate/higher level degree with major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of the position

Aufgaben: The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning
Anforderungen: Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD; Expert knowledge of avian physiology and physiology of flight; Documented analytical and statistical skills (e.g. statistical programming in R); Demonstrated skills in scientific publishing; Ability to work in groups as well as independently; Excellent oral and written proficiency in English

Aufgaben: The overall goal of the PhD project is to better understand how the environment affects genetic and phenotypic variation, and how these insights can be used to improve predictions of evolution
Anforderungen: A MSc in evolutionary biology, ecology, or closely related area; Excellent oral and written proficiency in English; Experience in data processing, statistical analysis, and scripting (ideally) in R

Aufgaben: The postholder will work in close collaboration with the PIs and NWMO team to identify appropriate sampling strategies to ensure the quality of samples returned to the Oxford Laboratory environment. The postholder will be responsible for adapting existing, and developing new, analytical methodologies on both fluid and rock-core samples to determine helium and associated noble gas isotopic compositions. They will apply and develop existing diffusion models to account for the observed helium distribution in the context of gas and fluid transport and pore-fluid residence time over multiple scales. The postholder will also be responsible for providing leadership, input and advice on comparisons between fluid residence and migration with other relevant systems worldwide, as well as identifying new possibilities to generate fluid residence age and migration insights
Anforderungen: You will hold, or be close to completion of, a PhD/DPhil in a relevant field (e.g. noble gas geochemistry, groundwater residence geochemistry) together with experience relevant to the objectives of the projects. You will also possess sufficient specialist knowledge of groundwater dating proxies and have field and laboratory experience working with fluids and/or core samples. You must have the ability to manage your own academic research and associated activities and excellent communication skills including the ability to write for publication, present research proposals and results, and represent the research group at external meetings

Aufgaben: The University Hospital of Basel defines seven interdisciplinary focal points in clinical practice, research and development, from which renowned experts expect significant advances for the future of medicine. In this way, the University Hospital Basel is raising its profile both nationally and internationally and providing direct benefits for its patients
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Aufgaben: Die klassische Managementberatung ist ein Kerngebiet unserer Tätigkeit. Wir belassen es jedoch nicht bei der reinen Entwicklung von Konzepten, sondern helfen auch bei der erfolgreichen Umsetzung. Unsere zusätzliche Expertise im Projektmanagement, SAP-Management und IT-Management ermöglicht uns, in der heutigen, digitalen Welt ein komplettes Angebot für Ihr Projektvorhaben liefern zu können. Damit profitieren Sie von unseren Erfahrungen bis zur Ziellinie
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Aufgaben: Die Pädagogische Hochschule Zürich (PH Zürich) ist die Aus- und Weiterbildungsstätte für Lehrpersonen im Kanton Zürich. Sie wurde im Herbst 2002 durch die Zusammenlegung der elf Vorgängerinstitutionen der Lehrerinnen- und Lehrerbildung gegründet. Die PH Zürich erbringt Leistungen in folgenden Bereichen: Ausbildung, Weiterbildung, Dienstleistungen, Forschung & Entwicklung
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Aufgaben: Das Kantonsspital St.Gallen ist das Zentrumsspital der Ostschweiz. Die Ambis in Rorschach und Flawil sind auf allen Ebenen; medizinisch, logistisch und personell; voll integrierte Bestandteile des Unternehmens. Als eines der grössten Spitäler der Schweiz übernimmt das Kantonsspital St.Gallen neben Grundversorgungsaufgaben für die Bevölkerung der Stadt St.Gallen und die angrenzenden Regionen auch Zentrumsfunktionen für die Einwohnerinnen und Einwohner des ganzen Kantons St.Gallen sowie einige benachbarte Kantone
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Aufgaben: Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data; Develop bioinformatics pipelines for analyzing high dimensional immunological data; Develop novel visualization tools for interpreting big cancer Omics data; Discover new predictive biomarkers for cancer prognosis; Collaborate on a variety of cancer and bioinformatics research projects
Anforderungen: PhD in Bioinformatics, Statistics/Biostatistics, Applied Mathematics, Data Science, Computer Science, or related fields. Research background/experiences in Bioinformatics, Statistics, Computational Biology, Machine Learning, or Computer Science. A highly motivated and independent researcher with a strong quantitative scientific background. Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems

Aufgaben: Participate in implementation and evaluation of leading-edge machine learning methods related to cancer immunotherapy; Explore large-scale immunological datasets, including genomic, transcriptomic, mass spectrometry, and structural data, to derive and integrate orthogonal contributors of effective immunotherapy design; Stay abreast of scientific findings and technological developments and continuously improve computational methodology; Maintain detailed documentation of data analysis methods and results; Present findings and participate in cross-function team meetings
Anforderungen: MS degree in Computational Biology, Bioinformatics, Computer Science, or a related field; Strong track record in machine learning algorithm development, preferably with applications in immunology, genomics, or personalized medicine; Proficiency in handling and interpreting large-scale biological datasets, including genomic and proteomic data; Strong programming skills in Python/R and with ML frameworks (e.g. PyTorch)

Aufgaben: Computational analysis of large, complex, single cell genomics datasets from in vitro cellular model systems ; Deliver testable hypotheses/insights from complex high-dimensional data to inform target selection ; Linking results and insights between internal and public data, as well as orthogonal data such as human genetics. ; Identify and validate approaches to improve quality and efficiency of hypothesis generation from model systems ; Maintain awareness of emerging methods in computational biology and applications for novel omics technologies ; Provide ad-hoc bioinformatics support to cross-disciplinary project teams 
Anforderungen: PhD in Bioinformatics, Biostatistics, Computer Science, Computational Biology, Genetics, Mathematics, Physics, Statistics or other related discipline ; 2-3 years post PhD experience applying quantitative approaches to solve biological problems ; Knowledge and experience of single-cell transcriptomic data and analyses; additional modalities such as histone modification data analysis considered a plus. ; Strong knowledge of applied statistics and machine learning (in particular deep generative models) ; Strong statistical and scripting programming skills (Python/R/etc.) 

Aufgaben: Setting up, operating and maintaining pilot plant equipment related to the company's separation process technology Collaborating on cross functional teams to conduct experimental runs while maintaining a safe working environment Utilizing strong mechanical aptitude and problem-solving skills Ability to work flexible/extended schedules with rotating shifts (days, afternoons or overnights) if needed Carry out HAZOPs and complete HAZOP action items Experience in transporting and handling chemicals in different packaging sizes
Anforderungen: Diploma/Degree in Chemical engineering, Biochemical engineering, Environmental engineering or related fields; 5 to 7 years of experience in industrial plant, pharmaceutical, petrochemical or flavor and fragrance process environment; Knowledge of separation processes such as distillation, Liquid-Liquid extraction, and crystallization; Experience in commissioning and operating process plant; Knowledge of conducting Risk Assessment, methodology in Process Safety (PHA, What-ifs, ), Change Management; Working knowledge of Electrical, Instrumentation & Controls, Mechanical systems etc

Aufgaben: Les activités seront réparties de la manière suivante: travail expérimental en laboratoire (60%); travail d’acquisition et d’imagerie (20%); travail d’analyse et de compilation des résultats (10%); travail de recherche bibliographique et comptes-rendus (10%)
Anforderungen: Maîtrise expérimentale en culture cellulaire, biologie cellulaire, biologie moléculaire, imagerie confocal; Maîtrise des techniques de productin et purification des protéines in vitro; Maîtrise de logiciels informatiques types Power point (assemblage des résultats), ImageJ (analyse des résultats), Word (rédaction), Excel (tableaux et statistiques), Maxquant, ChimeraX; Maîtrise de l’anglais

Dauer: 2 y
Aufgaben: The research aims to fill in the gaps by assessing how the ecological communities of pollinators, plants and microbes are structured and how they function, in regard to plant usage and microbe sharing, in different environments, and in the presence and in the absence of managed pollinators. We use cutting-edge molecular tools, namely DNA metabarcoding and metagenomics to identify the interacting taxa. We study pollination communities primarily in the Boreal zone, but also in the Arctic
Anforderungen: The successful candidate should have a PhD in community ecology, functional ecology, or a closely related field. Previous experience is required in at least one of the following: fieldwork in terrestrial ecosystems, DNA metabarcoding, and advanced statistical methods in community ecology. Excellent written and verbal communication skills, ability to conceive, execute and complete research projects, ability to think independently and creatively as well as ability to work in a team and independently are expected. Experience in working with questions and methods related pollinators, plants and/or microbes is meriting

Abteilung: Agricultural Sciences
Aufgaben: The research will aim to study the biological role of some secondary metabolites, as tryptamine and serotonin, which are; synthetised in the cells of some plant species. The MicroTom tomato model species will be utilised. In particular, the role; of these compounds in the response to biotic and abiotic stress and their effect on endophytic communities will be; studied from a physiological, molecular and metabolomic point of view, through the use of 'knock out'mutants for the; various enzymes of their pathway biosynthetic
Anforderungen: Early stage researcher or 0-4 yrs (Post graduate)

Aufgaben: Conduire, en adaptant les conditions expérimentales, un ensemble de techniques de microbiologie (ex.: cultures de procaryotes thermophiles ou hyperthermophiles en conditions axéniques); Contribuer à la caractérisation des solides altérés en fin d’expérience; Rédiger et actualiser des protocoles et des notes techniques; Accompagner les étudiants dans leur apprentissage des bases de microbiologie; Participer à la rédaction d’articles scientifiques; Assurer un suivi des appareils de laboratoire de microbiologie (hotte à flux laminaire, centrifugeuse, incubateurs, autoclave…); Gérer les stocks et les commandes de matériels courants et consommables; Veiller à la mise en application des règles d’hygiène et de sécurité au laboratoire
Anforderungen: Avoir de solides compétences en microbiologie; Avoir des compétences complémentaires en caractérisation des matériaux; Avoir la capacité de travailler dans un environnement collaboratif et interdisciplinaire; Posséder des compétences démontrées en communication écrite et orale en anglais; Justifier d’une expérience en laboratoire de recherche; Capacité de lecture, de compréhension et de mise en place de méthodes issues de publications scientifiques; Rigueur, autonomie, dynamisme, bonne capacité à travailler en équipe

Aufgaben: This project will utilise pharmaceutical methods and principles to enhance the stability of new vaccine antigens and adjuvants, provided by our colleagues, to create needle-free, stable, immunogenic P. vivax vaccines. Our EU-funded consortium will build on exciting breakthroughs in malaria research to integrate state-of-the-art advances in parasite immunology, vaccine design and delivery, and innovative pre-clinical and clinical studies. Here in UCC, we focus on finding solutions to current global vaccine accessibility issues by developing stable vaccine delivery technologies
Anforderungen: We are seeking a highly motivated and self-driven scientist in the biopharmaceutical sciences, with an ability to work to a high standard and as part of a team. The scientist should have direct experience of working in vaccine formulation or on complex biologics, ideally in development of solid dosage forms. The scientist must have excellent communication, planning, team-working, practical, problem solving, record-keeping skills and previously demonstrated innovation. The scientist must have a track record in publishing previous work, hold a primary and/or secondary degree in Pharmacy or related Pharmaceutical Science discipline. Experience of working in a commercial environment is desirable

Aufgaben: Develop theoretical and computational models for interfacial flow and wetting on cell membranes; Implement and solve numerically the theoretical membrane model; Collaborate with experimentalists; Develop independence and be self-driven to advance with their research project; Work in an interdisciplinary team with expertise in mechanics, biology, physics and biophysics; Follow our PhD program that include an educational component
Anforderungen: Master’s degree or equivalent in mechanics, fluid mechanics, biophysics, physics or applied mathematics; Excellent oral and written communication skills in English

Aufgaben: Successful applicants will join an exciting research project that aims to understand how cool temperatures, such as experienced during torpor, affect the cellular circadian clock. The circadian clock is a fundamental cellular timekeeper that impacts on most aspects of the physiology of cells and organisms. This BBSRC-funded project builds on recent findings from our labs that identified a novel link between extreme cooling and the circadian clock. We aim to exploit these insights to unravel the molecular mechanisms that underpin the rhythmic expression of circadian core clock genes
Anforderungen: Knowledge and experience of circadian biology; Previous work with mouse models; Holds a DPhil or equivalent; Capacity to plan and execute research programs; Ability to present and write research articles; Work within a team to deliver in a timely fashion

Aufgaben: Your research will be to develop new chemical transformations, especially in water, for applications towards, transparent, functional, and chemical recyclable polymeric materials. Your particular focus will be on method development
Anforderungen: We are searching for a person with a PhD degree in area of Organic Chemistry focus on Catalysis, merit is given to documented interest in advanced NMR characterization, either though scientific publications or documented coursework. The personal qualities that we are looking for are, structured, organized and a deep interest in fundamental research. Fluency in English, both verbally and in writing is a requirement

Aufgaben: We seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurodegenerative diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical, imaging, or other large biological datasets), using statistical methods, pathway/network analysis or machine learning/artificial intelligence. The candidate will conduct integrative analyses of biomedical datasets, focusing on omics and clinical data to predict clinical outcomes of interest (e.g., disease progression scores). This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Classification models guided by prior mechanistic knowledge will be built, exploiting the known grouping structures among features in the omics data, using dedicated s...
Anforderungen: The candidate will have an MSc or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology, or related subject areas; Prior experience in large-scale data processing and statistics/machine learning is required; Previous work and publications in bioinformatics or biostatistics analysis of large-scale biomedical data (e.g., omics, clinical, imaging, other biomedical data) should be outlined in the CV; Demonstrated skills and knowledge in omics data analysis, machine learning, pathway and network analysis are highly advantageous; The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research; Fluency in oral and written English

Aufgaben: Attività di ricerca applicata nel campo delle applicazioni di salute di precisione abilitate dall'IA, utilizzando vari algoritmi per consentire il riutilizzo dei dati sanitari esistenti e di altri dati sanitari a supporto della ricerca clinica e dell'assistenza clinica; Applicazioni di IA responsabile di algoritmi di apprendimento automatico superficiale e profondo in ambito sanitario; Scrivere articoli scientifici per riviste e atti di conferenze, documenti di progetto e relazioni interne; Presentare i risultati della ricerca a un vasto pubblico, tra cui conferenze, workshop e riunioni di revisione dei progetti; Partecipare all'insegnamento e al tutoraggio degli studenti
Anforderungen: Laurea magistrale in informatica, scienza dei dati, informatica medica, ingegneria del software o campi correlati, già conseguita o in fase di completamento; Esperienza nell'apprendimento automatico superficiale e profondo; Forte motivazione e impegno nella ricerca e nella pubblicazione in conferenze e riviste di alto livello; Forti capacità di programmazione, con familiarità con Python (o Java); Conoscenza dell'inglese scritto e parlato; Buone capacità organizzative, capacità di lavorare in modo indipendente e proattivo

Aufgaben: Kultivierung und praktische Versuche mit verschiedenen Pilz-Spezies; Isolierung von verschiedenen Immunzellen und Anzucht von Tumorzellen; Immunologische Analysen zur Interaktion von Pilzen mit der zellulären und humoralen Immunität; Planung und statistische Auswertungen der Experimente; Mitarbeit an Projektberichten, Evaluationen und Publikationen etc; Kooperation in einem interdisziplinären Team
Anforderungen: ein zum Themenbereich passendes, abgeschlossenes Master- Magister- oder Diplomstudium; gute Deutsch- und Englischkenntnisse in Wort und Schrift; Eigenständiges Arbeiten, Teamfähigkeit und Kommunikationsbereitschaft; Geschick und Sorgfalt für das praktische Arbeiten und die Dokumentation im Labor; Interesse an wissenschaftlichem Arbeiten in einem interdisziplinären Team

Aufgaben: The research program in the lab focuses on developing computational methodologies and designing integrative data science approaches to study chromatin epigenomics and gene regulation. Current ongoing projects include: multi-omics integration-based algorithm development for transcriptional regulation prediction; model-based algorithm development for single-cell epigenomics and spatial multi-omics data analysis; statistical and computational modeling of phase-separated transcriptional condensation; global epigenetic and transcriptional regulation in T-cell immunity and various human cancer systems, etc
Anforderungen: A Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science; Proficient in Python (or C/C++) & R programming; Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., high-throughput sequencing data analysis, etc.)

Aufgaben: Under the supervision of the PI, conducts advanced analysis requiring programming in Stata, SAS, R, Python, or other relevant statistical software package. Analysis may include but is not limited to survival analysis, case‐control analyses, cohort analyses, etc; Performs bioinformatic data quality control prior to analysis implementation; Determines appropriate statistical methods to achieve project aims; Collects and manages survey, insurance claims, and clinical data. Develops custom databases with oversight from the PI; Collects big data from multiple resources and determining appropriate merging procedures with existing analytic data
Anforderungen: Master’s degree in health services research, health policy, economics, quantitative psychology, epidemiology, biostatistics, bioinformatics, computer science, computational biology or related field with 2 years of relevant experience with bioinformatic packages is required; Completion of an intense data boot camp is equivalent to 1 year of experience; Experience programming in Stata, R, Python, SAS or some other statistical software required